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497 => 'Baguio City', (int) 498 => 'Johannesburg', (int) 499 => 'Durban', (int) 500 => 'Cape Town', (int) 501 => 'Pretoria', (int) 502 => 'East London', (int) 503 => 'Port Elizabeth', (int) 504 => 'Durban', (int) 505 => 'Blackrock', (int) 506 => 'Al Faruq', (int) 507 => 'Az Zahra', (int) 508 => 'Tuwaiq', (int) 509 => 'Al Munsiyah', (int) 510 => 'Al Badiah', (int) 511 => 'Ash Shimaisi', (int) 512 => 'Mikal', (int) 513 => 'As Safa', (int) 514 => 'As Sulimaniyah', (int) 515 => 'Al Yasmin', (int) 516 => 'Al Wurud', (int) 517 => 'Jabrah', (int) 518 => 'Al Malqa', (int) 519 => 'Al Jazirah', (int) 520 => 'Al Aqiq', (int) 521 => 'Dhahrat Laban', (int) 522 => 'Al Butaiha', (int) 523 => 'Al Fayha', (int) 524 => 'King Abdullah', (int) 525 => 'As Saadah', (int) 526 => 'Ad Dirah', (int) 527 => 'Laban', (int) 528 => 'Al Marqab', (int) 529 => 'As Salhiyah', (int) 530 => 'Thulaim', (int) 531 => 'Irqah', (int) 532 => 'As Suwaidi', (int) 533 => 'Khashm Al An', (int) 534 => 'Al Futah', (int) 535 => 'As Safarat', (int) 536 => 'Ar Raid', (int) 537 => 'Al Wisham', (int) 538 => 'Al Amal', (int) 539 => 'Manfuhah', (int) 540 => 'Umm Salim', (int) 541 => 'Al Malaz', (int) 542 => 'Al Muruj', (int) 543 => 'Al Hazm', (int) 544 => 'Al Mursalat', (int) 545 => 'Jarir', (int) 546 => 'As Sulay', (int) 547 => 'Al Khaleej', (int) 548 => 'Ar Rabwah', (int) 549 => 'Al Hamra', (int) 550 => 'Al Wadi', (int) 551 => 'Al Falah', (int) 552 => 'Ar Rawabi', (int) 553 => 'Badr', (int) 554 => 'An Nasiriyah', (int) 555 => 'Al Murabba', (int) 556 => 'An Namudhajiyah', (int) 557 => 'Al Manar', (int) 558 => 'An Nasim Al Gharbi', (int) 559 => 'Ar Rafiah', (int) 560 => 'Al Masif', (int) 561 => 'Sultanah', (int) 562 => 'An Nahdah', (int) 563 => 'Al Ghadir', (int) 564 => 'Siyah', (int) 565 => 'Skirinah', (int) 566 => 'An Narjis', (int) 567 => 'Ar Rimayah', (int) 568 => 'Al Izdihar', (int) 569 => 'Al Mansourah', (int) 570 => 'Ash Shuhada', (int) 571 => 'Ghirnatah', (int) 572 => 'Al Khalidiyah', (int) 573 => 'Jogeshwari West', (int) 574 => 'As Sahafah', (int) 575 => 'Powai', (int) 576 => 'Andheri West', (int) 577 => 'Juhu', (int) 578 => 'Banban', (int) 579 => 'Al Faysaliyah', (int) 580 => 'Al Janadriyah', (int) 581 => 'Vidyavihar', (int) 582 => 'Kandivali East', (int) 583 => 'Vikhroli East', (int) 584 => 'Vikhroli West', (int) 585 => 'Colaba', (int) 586 => 'Dadar', (int) 587 => 'Andheri East', (int) 588 => 'Kandivali West', (int) 589 => 'Khar East', (int) 590 => 'Chembur', (int) 591 => 'Bandra East', (int) 592 => 'Khar West', (int) 593 => 'Malad East', (int) 594 => 'Govandi East', (int) 595 => 'Fort', (int) 596 => 'Vile Parle', (int) 597 => 'Bandra West', (int) 598 => 'Mankhurd', (int) 599 => 'Malad West', (int) 600 => 'Santacruz West', (int) 601 => 'Girgaon', (int) 602 => 'Santacruz East', (int) 603 => 'Kalbadevi', (int) 604 => 'Bhandup West', (int) 605 => 'Borivali', (int) 606 => 'Kamathipura', (int) 607 => 'Mulund West', (int) 608 => 'Trombay', (int) 609 => 'Matunga', (int) 610 => 'Bhandup East', (int) 611 => 'Dahisar East', (int) 612 => 'Ghatkopar East', (int) 613 => 'Parel', (int) 614 => 'Antop Hill', (int) 615 => 'Mulund East', (int) 616 => 'Dahisar West', (int) 617 => 'Tardeo', (int) 618 => 'Byculla', (int) 619 => 'Ghatkopar West', (int) 620 => 'Goregaon East', (int) 621 => 'Goregaon West', (int) 622 => 'Jogeshwari East', (int) 623 => 'Kanjurmarg East', (int) 624 => 'Jeryan Nejaima', (int) 625 => 'Madinat Khalifa', (int) 626 => 'Al Messila', (int) 627 => 'Kanjurmarg West', (int) 628 => 'Al Kandarah', (int) 629 => 'Al Gharafa', (int) 630 => 'As Sahifah', (int) 631 => 'Al Duhail', (int) 632 => 'Al Tarfa', (int) 633 => 'Al Sabeel', (int) 634 => 'Msheireb Downtown Doha', (int) 635 => 'Kurla', (int) 636 => 'Hamad Medical City', (int) 637 => 'Al Ammariah', (int) 638 => 'Al Jawharah', (int) 639 => 'Al Balad', (int) 640 => 'Al Souq', (int) 641 => 'Old Airport', (int) 642 => 'Al Adel', (int) 643 => 'Al Nasr', (int) 644 => 'Ras Abu Abboud', (int) 645 => 'Al Doha Al Jadeeda', (int) 646 => 'Al Amir Fawaz Ash Shamaly', (int) 647 => 'Al Baghdadiyah Al Gharbiah', (int) 648 => 'Al Muntazah', (int) 649 => 'Al Quraiyat', (int) 650 => 'Al Amir Fawaz Al Janouby', (int) 651 => 'Doha Port', (int) 652 => 'Al Salata', (int) 653 => 'Al Murjan', (int) 654 => 'An Nazlah Al Yamaniyah', (int) 655 => 'Ath Thaghr', (int) 656 => 'Al Dafna', (int) 657 => 'Al Bawadi', (int) 658 => 'Wadi Al Sail', (int) 659 => 'Al Jamiah', (int) 660 => 'Fereej Bin Omran', (int) 661 => 'Al Luqta', (int) 662 => 'Al Ajwad', (int) 663 => 'Al Khuwair', (int) 664 => 'Al Jebailat', (int) 665 => 'As Samir', (int) 666 => 'Abu Hamour', (int) 667 => 'Somerset West Bay Doha', (int) 668 => 'Ain Khaled', (int) 669 => 'Ar Rihab', (int) 670 => 'Onaiza', (int) 671 => 'Madain Al Fahd', (int) 672 => 'West Bay Lagoon', (int) 673 => 'Salwa Road South, Doha, Qatar', (int) 674 => 'Petromin', (int) 675 => 'Umm Salal Mohammed', (int) 676 => 'Jelaiah', (int) 677 => 'Al Waab', (int) 678 => 'Al Soudan', (int) 679 => 'Ghulail', (int) 680 => 'Ash Sharafiyah', (int) 681 => 'Al Warood', (int) 682 => 'Mehairja', (int) 683 => 'Baaya', (int) 684 => 'Bani Malik', (int) 685 => 'Muraykh', (int) 686 => 'Attingal', (int) 687 => 'Al Naseem', (int) 688 => 'Al Waziriyah', (int) 689 => 'Al Sulaymaniyah', (int) 690 => 'Luaib', (int) 691 => 'King Abdulaziz University', (int) 692 => 'Mishrifah', (int) 693 => 'Al Sadd', (int) 694 => 'Fereej Bin Mahmoud South', (int) 695 => 'Industrial', (int) 696 => 'Abruq Ar Rughamah', (int) 697 => 'Al-KhÄ«sah', (int) 698 => 'Al Asiri', (int) 699 => 'Al Marwah', (int) 700 => 'Barwa Village', (int) 701 => 'Al Mansoura', (int) 702 => 'Najma', (int) 703 => 'Umm Ghuwailina', (int) 704 => 'Al Ghanim', (int) 705 => 'Al Fayha', (int) 706 => 'As Salamah', (int) 707 => 'Al Hitmi', (int) 708 => 'Al Najada', (int) 709 => 'Musherib', (int) 710 => 'As Sororyah', (int) 711 => 'As Sanabel', (int) 712 => 'An Naim', (int) 713 => 'Ash Shati', (int) 714 => 'Al Mahjar', (int) 715 => 'Al-Rawdah', (int) 716 => 'Al Andalus', (int) 717 => 'Al Ruwais', (int) 718 => 'Kuwait City', (int) 719 => 'As Safa', (int) 720 => 'AlJuffair', (int) 721 => 'Jaber Al Ali', (int) 722 => 'Yarmouk', (int) 723 => 'Dasman', (int) 724 => 'Rai', (int) 725 => 'Fahad Al Ahmad', (int) 726 => 'Sharq', (int) 727 => '', (int) 728 => 'Sulaibikhat', (int) 729 => 'Shuaiba Block 1', (int) 730 => 'Amgarah Industrial Area', (int) 731 => 'Al Hoora', (int) 732 => 'Naseem', (int) 733 => 'Doha', (int) 734 => 'Jibla', (int) 735 => 'Naeem', (int) 736 => 'Sabah Al Ahmad', (int) 737 => 'Nahdha', (int) 738 => 'Waha', (int) 739 => 'Al-Nuwaiseeb', (int) 740 => 'Dasma', (int) 741 => 'Daiya', (int) 742 => 'Jaber Al Ahmad', (int) 743 => 'Jahra', (int) 744 => 'Bu Ashira', (int) 745 => 'Bneid Al Qar', (int) 746 => 'Ali Sabah Al Salem', (int) 747 => 'Qairawan', (int) 748 => 'Al-Shadadiya', (int) 749 => 'Fintas', (int) 750 => 'Kaifan', (int) 751 => 'Mansouriya', (int) 752 => 'Umm Al Hassam', (int) 753 => 'Ahmadi', (int) 754 => 'Hawally', (int) 755 => 'Abdulla Al-Salem', (int) 756 => 'Rumaithiya', (int) 757 => 'Al-Ardiya', (int) 758 => 'Nuzha', (int) 759 => 'Faiha', (int) 760 => 'Shamiya', (int) 761 => 'Rawda', (int) 762 => 'Sea Front', (int) 763 => 'Jabriya', (int) 764 => 'Khaldiya', (int) 765 => 'Rabia', (int) 766 => 'Qadsiya', (int) 767 => 'Salmiya', (int) 768 => 'Khaitan', (int) 769 => 'Qortuba', (int) 770 => 'Surra', (int) 771 => 'Adan', (int) 772 => 'Manama Center', (int) 773 => 'Omariya', (int) 774 => 'Mahboula', (int) 775 => 'Al-Dajeej', (int) 776 => 'Mishref', (int) 777 => 'Riqqah', (int) 778 => 'Shaab', (int) 779 => 'Farwaniyah', (int) 780 => 'Hadiya', (int) 781 => 'West of Abu Fatira Al-Herafia', (int) 782 => 'Bayan', (int) 783 => 'Kaifan', (int) 784 => 'Abu Halifa', (int) 785 => 'Salwa', (int) 786 => 'Qurain', (int) 787 => 'Sabahiya', (int) 788 => 'Mirqab', (int) 789 => '', (int) 790 => 'Qusor', (int) 791 => 'Block 13', (int) 792 => 'Sabah Al Salem', (int) 793 => 'Zahra', (int) 794 => 'Adailiya', (int) 795 => 'Salam', (int) 796 => 'Shuhada', (int) 797 => 'Messila', (int) 798 => 'Mangaf', (int) 799 => 'Abu Fatira', (int) 800 => 'Mubarak Al-Abdullah', (int) 801 => 'Mubarak Al Kabeer', (int) 802 => 'Fnaitees', (int) 803 => 'Bahrain Financial Harbour', (int) 804 => 'Fahaheel', (int) 805 => 'Sabhan Industrial Area', (int) 806 => 'Alcorniche', (int) 807 => 'Al-Masayel', (int) 808 => 'Wista', (int) 809 => 'Al Wafrah', (int) 810 => 'Diplomatic Area', (int) 811 => 'Al Khiran', (int) 812 => 'Bnaider', (int) 813 => 'Al-Julaia'a', (int) 814 => 'Alguful', (int) 815 => 'Ministries Zone', (int) 816 => '', (int) 817 => 'Al Zour', (int) 818 => 'Al Adliyah Ave', (int) 819 => 'Mahooz', (int) 820 => 'Ghuraifa', (int) 821 => 'Alghurayfah', (int) 822 => 'Alghurayfah', (int) 823 => 'Qudaibiya', (int) 824 => 'Bu Ghazal', (int) 825 => 'Alfateh', (int) 826 => 'Alfateh', (int) 827 => 'Alsalmaniya', (int) 828 => 'Alsalmaniya', (int) 829 => 'Alnaim', (int) 830 => 'Al Manar', (int) 831 => 'Ar Rawabi', (int) 832 => 'Al Hamra', (int) 833 => 'Al Khalidiyah', (int) 834 => 'Rajajinagar', (int) 835 => 'Ramamurthy Nagar', (int) 836 => 'Adugodi', (int) 837 => 'Agram', (int) 838 => 'Kodihalli', (int) 839 => 'Arakere', (int) 840 => 'Domlur Layout', (int) 841 => 'Armane Nagar', (int) 842 => 'Koppa Gate', (int) 843 => '', (int) 844 => 'Richards Town', (int) 845 => 'Domlur Layout', (int) 846 => 'Electronic City', (int) 847 => '', (int) 848 => 'RR Nagar', (int) 849 => 'Electronic City', (int) 850 => 'Banashankari', (int) 851 => 'Ganganagar', (int) 852 => 'Banaswadi', (int) 853 => 'RT Nagar', (int) 854 => 'Basavanagudi', (int) 855 => 'Ragavendra Nagar', (int) 856 => 'Puttenahalli, Phase 7', (int) 857 => 'Basaveshwara Nagar', (int) 858 => 'Sadduguntepalya', (int) 859 => 'Ganganagar', (int) 860 => 'Bilekahalli', (int) 861 => 'Sahakara Nagar', (int) 862 => 'HBR Layout', (int) 863 => 'Pulikeshi Nagar', (int) 864 => 'Bommanahalli', (int) 865 => 'Sanjaynagar', (int) 866 => 'HBR Layout', (int) 867 => 'Hebbal', (int) 868 => 'Bommasandra', (int) 869 => 'Peenya', (int) 870 => 'Sarvagnanagar', (int) 871 => 'Brookefield', (int) 872 => 'Hebbal', (int) 873 => 'Palace Guttahalli', (int) 874 => 'BTM Layout', (int) 875 => 'Byatarayanapura', (int) 876 => 'Hebbal Kempapura', (int) 877 => 'Shivaji Nagar', (int) 878 => 'Padmanabhanagar', (int) 879 => 'Hebbal Kempapura', (int) 880 => 'Neelasandra', (int) 881 => 'C V Raman Nagar', (int) 882 => 'Hoodi', (int) 883 => 'Hoodi', (int) 884 => 'Carmelaram', (int) 885 => 'Sulikunte', (int) 886 => 'Nayanda Halli', (int) 887 => 'Chamrajpet', (int) 888 => 'Chikpete', (int) 889 => 'Hormavu', (int) 890 => 'Chikkalasandra', (int) 891 => 'Cox Town', (int) 892 => 'Dasarahalli', (int) 893 => 'Hormavu', (int) 894 => 'Halasuru', (int) 895 => 'Nandini Layout', (int) 896 => 'HSR Layout', (int) 897 => 'Uttarahalli', (int) 898 => 'Hulimavu', (int) 899 => 'Indiranagar', (int) 900 => '', (int) 901 => 'Vasanth Nagar', (int) 902 => 'Vidyaranyapura', (int) 903 => 'J. P. Nagar', (int) 904 => 'Nagarbhavi', (int) 905 => 'Vijayanagar', (int) 906 => 'Jalahalli', (int) 907 => 'Murugeshpalya', (int) 908 => 'Mathikere', (int) 909 => 'Vimanapura', (int) 910 => 'Jalahalli East', (int) 911 => 'Whitefield', (int) 912 => 'Marathahalli', (int) 913 => 'Yelahanka', (int) 914 => 'Malleshwara', (int) 915 => 'Mahalakshmi Layout', (int) 916 => 'Jayanagar', (int) 917 => 'Lingadheeranahalli', (int) 918 => 'Jeevanbheemanagar', (int) 919 => 'Yeshwanthpur', (int) 920 => 'Jigani', (int) 921 => 'Kumaraswamy Layout', (int) 922 => 'Kaggadasapura', (int) 923 => 'Krishnarajapura', (int) 924 => 'Kalkere', (int) 925 => 'Koramangala', (int) 926 => 'Kamala Nagar', (int) 927 => 'Kengeri', (int) 928 => 'Kodigehalli', (int) 929 => '', (int) 930 => 'Muscat Hills', (int) 931 => 'Ghala Industrial Estate', (int) 932 => 'Al Ghubrah South', (int) 933 => '', (int) 934 => 'Al Azaiba South', (int) 935 => 'Darsait', (int) 936 => 'Al Ghubrah Ash Shamaliyyah', (int) 937 => 'Al Khuwayr North', (int) 938 => 'Qurum 29', (int) 939 => 'Ruwi', (int) 940 => 'Madinat As Sultan Qaboos', (int) 941 => 'Madinat Al Ilam', (int) 942 => 'Walja', (int) 943 => 'Hamriyah', (int) 944 => 'Shati Al Qurum', (int) 945 => 'Qurm', (int) 946 => 'Mina Al Fahl', (int) 947 => 'Mutrah', (int) 948 => 'Ruwi Village', (int) 949 => 'Wadi Aday', (int) 950 => 'Hellatal Gidedah', (int) 951 => 'Al Wadi Al Kabir', (int) 952 => 'Ash Shutayfi', (int) 953 => 'Jibroo', (int) 954 => 'Takia', (int) 955 => 'Cairo', (int) 956 => 'Giza', (int) 957 => 'Alexandria', (int) 958 => 'Amman', (int) 959 => 'Irbid', (int) 960 => 'Beirut', (int) 961 => 'Zamalek', (int) 962 => 'Smart Village', (int) 963 => 'Sheikh Zayed City', (int) 964 => 'El Obour City', (int) 965 => 'Al Manial', (int) 966 => 'Garden City', (int) 967 => 'Heliopolis', (int) 968 => 'Agouza', (int) 969 => '6th of October City', (int) 970 => 'Dokki', (int) 971 => 'Nasr City', (int) 972 => 'New Cairo City', (int) 973 => 'Abdeen', (int) 974 => 'Masaken Sheraton', (int) 975 => 'Imbaba', (int) 976 => 'Pune', (int) 979 => 'Karachi', (int) 980 => 'Kuala Lumpur', (int) 981 => 'Kathmandu', (int) 982 => 'Gurgaon', (int) 983 => 'Petaling Jaya', (int) 984 => 'Seri Kembangan', (int) 985 => 'Subang Jaya', (int) 986 => 'Kuching', (int) 987 => 'Kuching', (int) 988 => 'Johor Bahru', (int) 989 => 'Perak', (int) 990 => 'Perak', (int) 991 => 'Perak', (int) 992 => 'Perak', (int) 993 => 'Perak', (int) 994 => 'Hyderabad', (int) 995 => 'Abuja', (int) 996 => 'Lagos', (int) 997 => 'Kano', (int) 998 => 'Wellington', (int) 999 => 'Auckland', (int) 1000 => 'São Paulo', (int) 1001 => 'Rio de Janeiro', (int) 1002 => 'Recife', (int) 1003 => 'Salvador', (int) 1004 => 'Brasília', (int) 1005 => 'Fortaleza', (int) 1006 => 'Belo Horizonte', (int) 1007 => 'Manaus', (int) 1008 => 'Curitiba', (int) 1009 => 'Porto Alegre', (int) 1010 => 'Belém', (int) 1011 => 'Campinas', (int) 1012 => 'Goiânia', (int) 1013 => 'Guarulhos', (int) 1014 => 'Lisboa', (int) 1015 => 'Porto', (int) 1016 => 'Luanda', (int) 1017 => 'Polokwane', (int) 1018 => 'Giza', (int) 1019 => 'Toronto', (int) 1020 => 'Montreal', (int) 1021 => 'Vancouver', (int) 1022 => 'Ottawa', (int) 1023 => 'Halifax', (int) 1024 => 'Edmonton', (int) 1025 => 'Mississauga', (int) 1026 => 'Sydney', (int) 1027 => 'Melbourne', (int) 1028 => 'Brisbane', (int) 1029 => 'Perth', (int) 1030 => 'Adelaide', (int) 1031 => 'Nairobi', (int) 1032 => 'Mombasa', (int) 1033 => 'Accra', (int) 1034 => 'Kumasi', (int) 1035 => 'London', (int) 1036 => 'Birmingham', (int) 1037 => 'Manchester', (int) 1038 => 'Glasgow', (int) 1039 => 'Newcastle', (int) 1040 => 'Sheffield', (int) 1041 => 'Liverpool', (int) 1042 => 'Leeds', (int) 1043 => 'Bristol', (int) 1044 => 'Belfast', (int) 1045 => 'Edinburgh', (int) 1046 => 'Aberdeen', (int) 1047 => 'Colombo', (int) 1048 => 'Kandy', (int) 1049 => 'Negombo', (int) 1050 => 'Leicester', (int) 1051 => 'Penang', (int) 1052 => 'Islamabad', (int) 1053 => 'Lahore', (int) 1054 => 'Faisalabad', (int) 1055 => 'Rawalpindi', (int) 1056 => 'Multan', (int) 1057 => 'Gujranwala', (int) 1058 => 'Peshawar', (int) 1059 => 'Quetta', (int) 1060 => 'Sargodha', (int) 1061 => 'Sialkot', (int) 1062 => 'Bahawalpur', (int) 1063 => 'Sukkur', (int) 1064 => 'Jhang', (int) 1065 => 'Shekhupura', (int) 1066 => 'Mardan', (int) 1067 => 'Gujrat', (int) 1068 => 'Larkana', (int) 1069 => 'Kasur', (int) 1070 => 'Rahim Yar Khan', (int) 1071 => 'Sahiwal', (int) 1072 => 'Tamale', (int) 1073 => 'Takoradi', (int) 1074 => 'Ashaiman', (int) 1075 => 'Kisumu', (int) 1076 => 'Nakuru', (int) 1077 => 'Eldoret', (int) 1078 => 'Kehancha', (int) 1079 => 'Ruiru', (int) 1080 => 'Christchurch', (int) 1081 => 'Hamilton', (int) 1082 => 'Tauranga', (int) 1083 => 'Napier-Hastings', (int) 1084 => 'Dehiwala-Mount Lavinia', (int) 1085 => 'Moratuwa', (int) 1086 => 'Sri Jayawardenepura Kotte', (int) 1087 => 'Sintra', (int) 1088 => 'Vila Nova de Gaia', (int) 1089 => 'Loures', (int) 1090 => 'Cascais', (int) 1091 => 'Cabinda', (int) 1092 => 'Huambo', (int) 1093 => 'Lubango', (int) 1094 => 'Kuito', (int) 1095 => 'Ibadan', (int) 1096 => 'Pokhara', (int) 1097 => 'Patan', (int) 1098 => 'Biratnagar', (int) 1099 => 'Tripoli', (int) 1100 => 'Sidon', (int) 1101 => 'Zarqa', (int) 1102 => 'Shubra El Kheima', (int) 1103 => 'Port Said', (int) 1104 => 'Suez', (int) 1105 => 'El Mahalla El Kubra', (int) 1106 => 'Luxor', (int) 1107 => 'Mansoura', (int) 1108 => 'Tanta', (int) 1109 => 'Asyut', (int) 1110 => 'Ismailia', (int) 1111 => 'Faiyum', (int) 1112 => 'Zagazig', (int) 1113 => 'Damietta', (int) 1114 => 'Aswan', (int) 1115 => 'Minya', (int) 1116 => 'Hyderabad', (int) 1117 => 'Marikina City', (int) 1118 => 'Ayacucho', (int) 1119 => 'Bandar Sungai Long', (int) 1120 => 'Balmain', (int) 1121 => 'Balmain', (int) 1122 => 'DLF Phase 2', (int) 1123 => 'Al Bahia', (int) 1124 => 'Rohini', (int) 1125 => 'Shomolu', (int) 1126 => 'Wamba', (int) 1127 => 'Selangor', (int) 1128 => 'Malviya Nagar', (int) 1129 => 'Al Bustan', (int) 1130 => 'Calgary', (int) 1131 => 'Calgary', (int) 1132 => 'Tondo', (int) 1133 => 'Intramuros', (int) 1134 => 'Al Mubarraz', (int) 1135 => 'King Abdullah Economic City', (int) 1136 => 'Ermita', (int) 1137 => 'Binondo', (int) 1138 => 'Malate', (int) 1139 => 'Paco', (int) 1140 => 'Sampaloc', (int) 1141 => 'Pandacan', (int) 1142 => 'Port Area', (int) 1143 => 'Quiapo', (int) 1144 => 'San Miguel', (int) 1145 => 'San Nicolas', (int) 1146 => 'Santa Ana', (int) 1147 => 'Santa Cruz', (int) 1148 => 'Santa Mesa', (int) 1149 => 'San Andres Bukid', (int) 1150 => 'Ayany', (int) 1151 => 'Gatwekera', (int) 1152 => 'Kambi Muru', (int) 1153 => 'Karanja', (int) 1154 => 'Kianda', (int) 1155 => 'Kisumu Ndogo', (int) 1156 => 'Laini Saba', (int) 1157 => 'Lindi', (int) 1158 => 'Makina', (int) 1159 => 'Mashimoni', (int) 1160 => 'Raila', (int) 1161 => 'Silanga', (int) 1162 => 'Soweto East', (int) 1163 => 'Soweto West', (int) 1164 => 'Benoni', (int) 1165 => 'Sarawak', (int) 1166 => 'Bulacan', (int) 1167 => 'Muntinlupa', (int) 1168 => 'Norwich', (int) 1169 => 'Poole', (int) 1170 => 'Ho Chi Minh', (int) 1171 => 'Hanoi', (int) 1172 => 'Male', (int) 1173 => 'Istanbul', (int) 1174 => 'Ankara', (int) 1175 => 'Izmir', (int) 1176 => 'Konya', (int) 1177 => 'Bangkok', (int) 1178 => 'Berlin', (int) 1179 => 'Hamburg', (int) 1180 => 'Frankfurt', (int) 1181 => 'Munich', (int) 1182 => 'Cologne', (int) 1183 => 'Stuttgart', (int) 1184 => 'Dusseldorf', (int) 1185 => 'Dortmund', (int) 1186 => 'Bremen', (int) 1187 => 'Essen', (int) 1188 => 'Amsterdam', (int) 1189 => 'Rotterdam', (int) 1190 => 'The Hague', (int) 1191 => 'Utrecht', (int) 1192 => 'Eindhoven', (int) 1193 => 'Tilburg', (int) 1194 => 'Aurangabad', (int) 1195 => 'Al Khalidiyah', (int) 1196 => 'Al Mina', (int) 1197 => 'Flintshire', (int) 1198 => 'Surat', (int) 1199 => 'Thrissur', (int) 1200 => 'Angeles City', (int) 1201 => 'Pampanga', (int) 1202 => 'Tarlac City', (int) 1203 => 'Bataan', (int) 1204 => 'Nueva Ecija', (int) 1205 => 'Pasay City', (int) 1206 => 'Salcombe', (int) 1207 => 'Brighton', 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xmlns="http://www.w3.org/2000/svg" width="15" height="15" viewBox="0 0 24 24"><path d="M12 2c5.514 0 10 4.486 10 10s-4.486 10-10 10-10-4.486-10-10 4.486-10 10-10zm0-2c-6.627 0-12 5.373-12 12s5.373 12 12 12 12-5.373 12-12-5.373-12-12-12zm1.25 17c0 .69-.559 1.25-1.25 1.25-.689 0-1.25-.56-1.25-1.25s.561-1.25 1.25-1.25c.691 0 1.25.56 1.25 1.25zm1.393-9.998c-.608-.616-1.515-.955-2.551-.955-2.18 0-3.59 1.55-3.59 3.95h2.011c0-1.486.829-2.013 1.538-2.013.634 0 1.307.421 1.364 1.226.062.847-.39 1.277-.962 1.821-1.412 1.343-1.438 1.993-1.432 3.468h2.005c-.013-.664.03-1.203.935-2.178.677-.73 1.519-1.638 1.536-3.022.011-.924-.284-1.719-.854-2.297z"/></svg> <span>Instructor led live virtual classroom online. Classes may be individual or in group.</span> </a> </span> </div> </div> <div class="info-differ"> <div class="info-common"> <span class="info2"> <small>Duration: </small> <strong>18 To 24 Months</strong> </span> </div> </div> </div> <div class="block-right col-md-4 col-xs-4"> <div class="course-logo"> <a target="_blank" title="More Courses from ICS Learn" href="https://courses.laimoon.com/online/schools/ics-learn"> <picture> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1522134262-ICSLearn-Logo-RGB.webp" type="image/webp" id="1608487598"> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1522134262-ICSLearn-Logo-RGB.png" type="image/png"> <img class="lazyload b-lazy" data-src="https://cdn.laimoon.com/listing_120_60/content_1522134262-ICSLearn-Logo-RGB.png" src="https://cdn.laimoon.com/courses/img/ph_small.gif" title="More about ICS Learn" alt="More about ICS Learn" border="0" width="120" height="60" /> </picture> </a> </div> <span class="info1"> <strong><span><ins course-cost="USD-5461">USD 5,461</ins><br><small class="with-strike"><strike course-cost="USD-9102">USD 9,102</strike></small></span></strong> </span> <div class="hidden-xs promotion-bar promotion-deals "> 40% Off for Laimoon Users! 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Classes may be individual or in group.</span> </a> </span> </div> </div> <div class="info-differ"> <div class="info-common"> <span class="info2"> <small>Duration: </small> <strong>32 Hours</strong> </span> </div> </div> </div> <div class="block-right col-md-4 col-xs-4"> <div class="course-logo"> <a target="_blank" title="More Courses from Learners Point Training Institute" href="https://courses.laimoon.com/online/schools/learners-point-training-institute"> <picture> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.webp" type="image/webp" id="1611092611"> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.png" type="image/png"> <img class="lazyload b-lazy" data-src="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.png" src="https://cdn.laimoon.com/courses/img/ph_small.gif" title="More about Learners Point Training Institute" alt="More about Learners Point Training Institute" border="0" width="120" height="90" /> </picture> </a> </div> <span class="info1"> <strong><span><ins course-cost="USD-953">USD 953</ins><br><small class="with-strike"><strike course-cost="USD-1095">USD 1,095</strike></small></span></strong> </span> <div class="hidden-xs promotion-bar promotion-deals "> 13% Off for Laimoon Users! 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Classes may be individual or in group.</span> </a> </span> </div> </div> <div class="info-differ"> <div class="info-common"> <span class="info2"> <small>Duration: </small> <strong>32 Hours</strong> </span> </div> </div> </div> <div class="block-right col-md-4 col-xs-4"> <div class="course-logo"> <a target="_blank" title="More Courses from Learners Point Training Institute" href="https://courses.laimoon.com/online/schools/learners-point-training-institute"> <picture> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.webp" type="image/webp" id="1594248692"> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.png" type="image/png"> <img class="lazyload b-lazy" data-src="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.png" src="https://cdn.laimoon.com/courses/img/ph_small.gif" title="More about Learners Point Training Institute" alt="More about Learners Point Training Institute" border="0" width="120" height="90" /> </picture> </a> </div> <span class="info1"> <strong><span><ins course-cost="USD-953">USD 953</ins><br><small class="with-strike"><strike course-cost="USD-1095">USD 1,095</strike></small></span></strong> </span> <div class="hidden-xs promotion-bar promotion-deals "> 13% Off for Laimoon Users! <a onclick="googleEventTrack('Courses', 'Clicked Promotion Button - Laimoon Deal', 'Machine Learning with Python');" href="https://courses.laimoon.com/course/part-time-machine-learning-with-python-learners-point-training-institute/virtual-classroom" class="promo-url ">get this deal</a> </div> </div> <div class="action-bottom margin-fix"> <div class="action-desk"> <label title="Learn more about Machine Learning with Python Course" class="request top-request coursecheckbox"> <cite class='icon'></cite><cite class='icon-to-fade'></cite> <input class="coursecheck133757" type="checkbox" name="reqCourseIds[]" value="133757" /> <span>Get More Info</span> </label> <button data-url="https://courses.laimoon.com/course/part-time-machine-learning-with-python-learners-point-training-institute/virtual-classroom" onClick="googleEventTrack('Courses', 'Clicked Readmore Button', 'Machine Learning with Python');" class="readmore" title="Machine Learning with Python"> <span>read more</span> </button> <a href="https://courses.laimoon.com/course_seekers/wishlist_courses" title="Add to wishlist" rel="nofollow" onClick="googleEventTrack('Courses', 'Clicked add to wishlist Button', 'Machine Learning with Python');" class="addtowishlist" data-id="133757"> <i class="icon-fav"></i><span>Add to wishlist</span> </a> </div> <div class="action-mob btn-group btn-group-justified hidden-sm hidden-md hidden-lg"> <div class="btn-group col-xs-5"> <label onClick="googleEventTrack('Courses', 'Clicked Get More Info Button', 'Machine Learning with Python');" title="Learn more about Machine Learning with Python Course" class="getform request-mob"> <input class="coursecheck133757" 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href="https://courses.laimoon.com/course/part-time-machine-learning-with-python-nextgen-learning/online" target="_blank"> <span class="truncate">Machine Learning with Python</span> <small>NextGen Learning </small> </a> </h2> </div> <div class="price-section-for-mob"> <div class="promotion-bar promotion-deals"> <i class="icon-bullhorn-64"></i> 90% off through Laimoon! <a onclick="googleEventTrack('Courses', 'Clicked Promotion Button - Laimoon Deal', 'Machine Learning with Python');" href="https://courses.laimoon.com/course/part-time-machine-learning-with-python-nextgen-learning" class="promo-url ">get this deal</a> </div> </div> <div class="info-main"> <div class="info-loc-wrap"> </div> </div> <div class="info-differ"> <div class="info-common"> <span class="info2"> <small>Duration: </small> <strong>5 Hours</strong> </span> </div> </div> </div> <div class="block-right col-md-4 col-xs-4"> <div class="course-logo"> <a target="_blank" title="More Courses from NextGen Learning" href="https://courses.laimoon.com/online/schools/nextgen-learning"> <picture> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1705409813-nt_1697525505-Frame_2.webp" type="image/webp" id="1651737994"> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1705409813-nt_1697525505-Frame_2.png" type="image/png"> <img class="lazyload b-lazy" data-src="https://cdn.laimoon.com/listing_120_60/content_1705409813-nt_1697525505-Frame_2.png" src="https://cdn.laimoon.com/courses/img/ph_small.gif" title="More about NextGen Learning" alt="More about NextGen Learning" border="0" width="120" height="45" /> </picture> </a> </div> <span class="info1"> <strong><span><ins course-cost="USD-12">USD 12</ins></span></strong> </span> <div class="hidden-xs promotion-bar promotion-deals "> 90% off through Laimoon! <a onclick="googleEventTrack('Courses', 'Clicked Promotion Button - Laimoon Deal', 'Machine Learning with Python');" 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Python');" class="readmore">Readmore</a> </div> </div> </div> <script type="text/javascript">GoogleCSAd.searchcsa = 2;</script> <div data-virtual="offline" data-hreflang="professional" lang="" tabindex="2" data-lang="" id="course136158" class=" courses-box prospectsactive "> <div class="block-left col-md-8 col-xs-8"> <div class="badgebox"> <span title="" class="flo-online">Online</span> </div> <div class="title-section clearfix"> <h2> <a rel="no-follow" target="_blank" title="Apex Learning - Learning English Language and Grammar" onClick="googleEventTrack('Courses', 'Course Clicked Out', 'Learning English Language and Grammar', 0.1);" href="https://courses.laimoon.com/course/part-time-learning-english-language-and-grammar-apex-learning-1/online" target="_blank"> <span class="truncate">Learning English Language and Grammar</span> <small>Apex Learning </small> </a> </h2> </div> <div class="price-section-for-mob"> <div class="promotion-bar promotion-deals"> <i 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(int) 352 => 'Mohammed Bin Zayed City', (int) 353 => 'Al Rowdah', (int) 354 => 'Al Nahyan', (int) 355 => 'Al Wahdah', (int) 356 => 'Al Zaab', (int) 357 => 'Al Manhal', (int) 358 => 'Tourist Club Area', (int) 359 => 'Al Danah', (int) 360 => 'Madinat Zayed', (int) 362 => 'Dubai Media City', (int) 363 => 'Sheikh Zayed Rd', (int) 364 => 'Hor Al Anz', (int) 365 => 'Al Mamzar', (int) 366 => 'Al Khan', (int) 367 => 'Al Khaledia', (int) 368 => 'Al Layyeh', (int) 369 => 'Al Majaz', (int) 370 => 'Abu Shagara', (int) 371 => 'Al Nud', (int) 372 => 'Al Mahatah', (int) 373 => 'Al Manakh', (int) 374 => 'Al Musalla', (int) 375 => 'Maysaloon', (int) 376 => 'Al Nasserya', (int) 377 => 'Bu Tina', (int) 378 => 'Al Qulayah', (int) 381 => 'Queenstown', (int) 382 => 'Central', (int) 383 => 'Novena', (int) 384 => 'Marine Parade', (int) 385 => 'Bukit Merah', (int) 386 => 'Bukit Timah', (int) 387 => 'Carlow', (int) 388 => 'Cavan', (int) 389 => 'Clare', (int) 390 => 'Cork', (int) 391 => 'Donegal', (int) 392 => 'Dublin', (int) 393 => 'Galway', (int) 394 => 'Kerry', (int) 395 => 'Kildare', (int) 396 => 'Kilkenny', (int) 397 => 'Laois', (int) 398 => 'Leitrim', (int) 399 => 'Limerick', (int) 400 => 'Longford', (int) 401 => 'Louth', (int) 402 => 'Mayo', (int) 403 => 'Meath', (int) 404 => 'Monaghan', (int) 405 => 'Offaly', (int) 406 => 'Roscommon', (int) 407 => 'Sligo', (int) 408 => 'Tipperary', (int) 409 => 'Tyrone', (int) 410 => 'Waterford', (int) 411 => 'Westmeath', (int) 412 => 'Wexford', (int) 413 => 'Wicklow', (int) 414 => 'Dun Laoghaire', (int) 415 => 'Fingal', (int) 416 => 'South Dublin', (int) 426 => 'Tanglin', (int) 427 => 'Kallang', (int) 428 => 'Bishan', (int) 429 => 'Toa Payoh', (int) 430 => 'Geylang', (int) 431 => 'Central Area', (int) 432 => 'East', (int) 433 => 'Changi', (int) 434 => 'Bedok', (int) 435 => 'Tampines', (int) 436 => 'Paya Lebar', (int) 437 => 'Pasir Ris', (int) 438 => 'North East', (int) 439 => 'Punggol', (int) 440 => 'Sengkang', (int) 441 => 'Seletar', (int) 442 => 'Hougang', (int) 443 => 'Serangoon', (int) 444 => 'Ang Mo Kio', (int) 445 => 'North', (int) 446 => 'Yishun', (int) 447 => 'Mandai', (int) 448 => 'Simpang', (int) 449 => 'Sembawang', (int) 450 => 'Woodlands', (int) 451 => 'Sungei Kadut', (int) 452 => 'Lim Chu Kang', (int) 453 => 'West', (int) 454 => 'Tuas', (int) 455 => 'Pioneer', (int) 456 => 'Boon Lay', (int) 457 => 'Jurong West', (int) 458 => 'Jurong East', (int) 459 => 'Tengah', (int) 460 => 'Bukit Batok', (int) 461 => 'Bukit Panjang', (int) 462 => 'Choa Chu Kang', (int) 463 => 'Changi Bay', (int) 464 => 'Motor City', (int) 465 => 'Delhi', (int) 466 => 'Mumbai', (int) 467 => 'Bangalore', (int) 468 => 'Chennai', (int) 469 => 'Ahmedabad', (int) 470 => 'Kolkata', (int) 471 => 'Indore', (int) 472 => 'Jaipur', (int) 473 => 'Vizag', (int) 474 => 'Coimbatore', (int) 475 => 'Bhopal', (int) 476 => 'Lucknow', (int) 477 => 'Jodphur', (int) 478 => 'Kota', (int) 479 => 'Nagpur', (int) 480 => 'Thiruvananthapuram', (int) 481 => 'Kochi', (int) 482 => 'Quezon City', (int) 483 => 'Manila', (int) 484 => 'Caloocan', (int) 485 => 'Davao City', (int) 486 => 'Cebu City', (int) 487 => 'Zamboanga City', (int) 488 => 'Antipolo City', (int) 489 => 'Pasig', (int) 490 => 'Taguig', (int) 491 => 'Cagayan de Oro', (int) 492 => 'Paranaque City', (int) 493 => 'Mandaluyong City', (int) 494 => 'Makati City', (int) 495 => 'Bacoor City', (int) 496 => 'Calamba City', (int) 497 => 'Baguio City', (int) 498 => 'Johannesburg', (int) 499 => 'Durban', (int) 500 => 'Cape Town', (int) 501 => 'Pretoria', (int) 502 => 'East London', (int) 503 => 'Port Elizabeth', (int) 504 => 'Durban', (int) 505 => 'Blackrock', (int) 506 => 'Al Faruq', (int) 507 => 'Az Zahra', (int) 508 => 'Tuwaiq', (int) 509 => 'Al Munsiyah', (int) 510 => 'Al Badiah', (int) 511 => 'Ash Shimaisi', (int) 512 => 'Mikal', (int) 513 => 'As Safa', (int) 514 => 'As Sulimaniyah', (int) 515 => 'Al Yasmin', (int) 516 => 'Al Wurud', (int) 517 => 'Jabrah', (int) 518 => 'Al Malqa', (int) 519 => 'Al Jazirah', (int) 520 => 'Al Aqiq', (int) 521 => 'Dhahrat Laban', (int) 522 => 'Al Butaiha', (int) 523 => 'Al Fayha', (int) 524 => 'King Abdullah', (int) 525 => 'As Saadah', (int) 526 => 'Ad Dirah', (int) 527 => 'Laban', (int) 528 => 'Al Marqab', (int) 529 => 'As Salhiyah', (int) 530 => 'Thulaim', (int) 531 => 'Irqah', (int) 532 => 'As Suwaidi', (int) 533 => 'Khashm Al An', (int) 534 => 'Al Futah', (int) 535 => 'As Safarat', (int) 536 => 'Ar Raid', (int) 537 => 'Al Wisham', (int) 538 => 'Al Amal', (int) 539 => 'Manfuhah', (int) 540 => 'Umm Salim', (int) 541 => 'Al Malaz', (int) 542 => 'Al Muruj', (int) 543 => 'Al Hazm', (int) 544 => 'Al Mursalat', (int) 545 => 'Jarir', (int) 546 => 'As Sulay', (int) 547 => 'Al Khaleej', (int) 548 => 'Ar Rabwah', (int) 549 => 'Al Hamra', (int) 550 => 'Al Wadi', (int) 551 => 'Al Falah', (int) 552 => 'Ar Rawabi', (int) 553 => 'Badr', (int) 554 => 'An Nasiriyah', (int) 555 => 'Al Murabba', (int) 556 => 'An Namudhajiyah', (int) 557 => 'Al Manar', (int) 558 => 'An Nasim Al Gharbi', (int) 559 => 'Ar Rafiah', (int) 560 => 'Al Masif', (int) 561 => 'Sultanah', (int) 562 => 'An Nahdah', (int) 563 => 'Al Ghadir', (int) 564 => 'Siyah', (int) 565 => 'Skirinah', (int) 566 => 'An Narjis', (int) 567 => 'Ar Rimayah', (int) 568 => 'Al Izdihar', (int) 569 => 'Al Mansourah', (int) 570 => 'Ash Shuhada', (int) 571 => 'Ghirnatah', (int) 572 => 'Al Khalidiyah', (int) 573 => 'Jogeshwari West', (int) 574 => 'As Sahafah', (int) 575 => 'Powai', (int) 576 => 'Andheri West', (int) 577 => 'Juhu', (int) 578 => 'Banban', (int) 579 => 'Al Faysaliyah', (int) 580 => 'Al Janadriyah', (int) 581 => 'Vidyavihar', (int) 582 => 'Kandivali East', (int) 583 => 'Vikhroli East', (int) 584 => 'Vikhroli West', (int) 585 => 'Colaba', (int) 586 => 'Dadar', (int) 587 => 'Andheri East', (int) 588 => 'Kandivali West', (int) 589 => 'Khar East', (int) 590 => 'Chembur', (int) 591 => 'Bandra East', (int) 592 => 'Khar West', (int) 593 => 'Malad East', (int) 594 => 'Govandi East', (int) 595 => 'Fort', (int) 596 => 'Vile Parle', (int) 597 => 'Bandra West', (int) 598 => 'Mankhurd', (int) 599 => 'Malad West', (int) 600 => 'Santacruz West', (int) 601 => 'Girgaon', (int) 602 => 'Santacruz East', (int) 603 => 'Kalbadevi', (int) 604 => 'Bhandup West', (int) 605 => 'Borivali', (int) 606 => 'Kamathipura', (int) 607 => 'Mulund West', (int) 608 => 'Trombay', (int) 609 => 'Matunga', (int) 610 => 'Bhandup East', (int) 611 => 'Dahisar East', (int) 612 => 'Ghatkopar East', (int) 613 => 'Parel', (int) 614 => 'Antop Hill', (int) 615 => 'Mulund East', (int) 616 => 'Dahisar West', (int) 617 => 'Tardeo', (int) 618 => 'Byculla', (int) 619 => 'Ghatkopar West', (int) 620 => 'Goregaon East', (int) 621 => 'Goregaon West', (int) 622 => 'Jogeshwari East', (int) 623 => 'Kanjurmarg East', (int) 624 => 'Jeryan Nejaima', (int) 625 => 'Madinat Khalifa', (int) 626 => 'Al Messila', (int) 627 => 'Kanjurmarg West', (int) 628 => 'Al Kandarah', (int) 629 => 'Al Gharafa', (int) 630 => 'As Sahifah', (int) 631 => 'Al Duhail', (int) 632 => 'Al Tarfa', (int) 633 => 'Al Sabeel', (int) 634 => 'Msheireb Downtown Doha', (int) 635 => 'Kurla', (int) 636 => 'Hamad Medical City', (int) 637 => 'Al Ammariah', (int) 638 => 'Al Jawharah', (int) 639 => 'Al Balad', (int) 640 => 'Al Souq', (int) 641 => 'Old Airport', (int) 642 => 'Al Adel', (int) 643 => 'Al Nasr', (int) 644 => 'Ras Abu Abboud', (int) 645 => 'Al Doha Al Jadeeda', (int) 646 => 'Al Amir Fawaz Ash Shamaly', (int) 647 => 'Al Baghdadiyah Al Gharbiah', (int) 648 => 'Al Muntazah', (int) 649 => 'Al Quraiyat', (int) 650 => 'Al Amir Fawaz Al Janouby', (int) 651 => 'Doha Port', (int) 652 => 'Al Salata', (int) 653 => 'Al Murjan', (int) 654 => 'An Nazlah Al Yamaniyah', (int) 655 => 'Ath Thaghr', (int) 656 => 'Al Dafna', (int) 657 => 'Al Bawadi', (int) 658 => 'Wadi Al Sail', (int) 659 => 'Al Jamiah', (int) 660 => 'Fereej Bin Omran', (int) 661 => 'Al Luqta', (int) 662 => 'Al Ajwad', (int) 663 => 'Al Khuwair', (int) 664 => 'Al Jebailat', (int) 665 => 'As Samir', (int) 666 => 'Abu Hamour', (int) 667 => 'Somerset West Bay Doha', (int) 668 => 'Ain Khaled', (int) 669 => 'Ar Rihab', (int) 670 => 'Onaiza', (int) 671 => 'Madain Al Fahd', (int) 672 => 'West Bay Lagoon', (int) 673 => 'Salwa Road South, Doha, Qatar', (int) 674 => 'Petromin', (int) 675 => 'Umm Salal Mohammed', (int) 676 => 'Jelaiah', (int) 677 => 'Al Waab', (int) 678 => 'Al Soudan', (int) 679 => 'Ghulail', (int) 680 => 'Ash Sharafiyah', (int) 681 => 'Al Warood', (int) 682 => 'Mehairja', (int) 683 => 'Baaya', (int) 684 => 'Bani Malik', (int) 685 => 'Muraykh', (int) 686 => 'Attingal', (int) 687 => 'Al Naseem', (int) 688 => 'Al Waziriyah', (int) 689 => 'Al Sulaymaniyah', (int) 690 => 'Luaib', (int) 691 => 'King Abdulaziz University', (int) 692 => 'Mishrifah', (int) 693 => 'Al Sadd', (int) 694 => 'Fereej Bin Mahmoud South', (int) 695 => 'Industrial', (int) 696 => 'Abruq Ar Rughamah', (int) 697 => 'Al-KhÄ«sah', (int) 698 => 'Al Asiri', (int) 699 => 'Al Marwah', (int) 700 => 'Barwa Village', (int) 701 => 'Al Mansoura', (int) 702 => 'Najma', (int) 703 => 'Umm Ghuwailina', (int) 704 => 'Al Ghanim', (int) 705 => 'Al Fayha', (int) 706 => 'As Salamah', (int) 707 => 'Al Hitmi', (int) 708 => 'Al Najada', (int) 709 => 'Musherib', (int) 710 => 'As Sororyah', (int) 711 => 'As Sanabel', (int) 712 => 'An Naim', (int) 713 => 'Ash Shati', (int) 714 => 'Al Mahjar', (int) 715 => 'Al-Rawdah', (int) 716 => 'Al Andalus', (int) 717 => 'Al Ruwais', (int) 718 => 'Kuwait City', (int) 719 => 'As Safa', (int) 720 => 'AlJuffair', (int) 721 => 'Jaber Al Ali', (int) 722 => 'Yarmouk', (int) 723 => 'Dasman', (int) 724 => 'Rai', (int) 725 => 'Fahad Al Ahmad', (int) 726 => 'Sharq', (int) 727 => '', (int) 728 => 'Sulaibikhat', (int) 729 => 'Shuaiba Block 1', (int) 730 => 'Amgarah Industrial Area', (int) 731 => 'Al Hoora', (int) 732 => 'Naseem', (int) 733 => 'Doha', (int) 734 => 'Jibla', (int) 735 => 'Naeem', (int) 736 => 'Sabah Al Ahmad', (int) 737 => 'Nahdha', (int) 738 => 'Waha', (int) 739 => 'Al-Nuwaiseeb', (int) 740 => 'Dasma', (int) 741 => 'Daiya', (int) 742 => 'Jaber Al Ahmad', (int) 743 => 'Jahra', (int) 744 => 'Bu Ashira', (int) 745 => 'Bneid Al Qar', (int) 746 => 'Ali Sabah Al Salem', (int) 747 => 'Qairawan', (int) 748 => 'Al-Shadadiya', (int) 749 => 'Fintas', (int) 750 => 'Kaifan', (int) 751 => 'Mansouriya', (int) 752 => 'Umm Al Hassam', (int) 753 => 'Ahmadi', (int) 754 => 'Hawally', (int) 755 => 'Abdulla Al-Salem', (int) 756 => 'Rumaithiya', (int) 757 => 'Al-Ardiya', (int) 758 => 'Nuzha', (int) 759 => 'Faiha', (int) 760 => 'Shamiya', (int) 761 => 'Rawda', (int) 762 => 'Sea Front', (int) 763 => 'Jabriya', (int) 764 => 'Khaldiya', (int) 765 => 'Rabia', (int) 766 => 'Qadsiya', (int) 767 => 'Salmiya', (int) 768 => 'Khaitan', (int) 769 => 'Qortuba', (int) 770 => 'Surra', (int) 771 => 'Adan', (int) 772 => 'Manama Center', (int) 773 => 'Omariya', (int) 774 => 'Mahboula', (int) 775 => 'Al-Dajeej', (int) 776 => 'Mishref', (int) 777 => 'Riqqah', (int) 778 => 'Shaab', (int) 779 => 'Farwaniyah', (int) 780 => 'Hadiya', (int) 781 => 'West of Abu Fatira Al-Herafia', (int) 782 => 'Bayan', (int) 783 => 'Kaifan', (int) 784 => 'Abu Halifa', (int) 785 => 'Salwa', (int) 786 => 'Qurain', (int) 787 => 'Sabahiya', (int) 788 => 'Mirqab', (int) 789 => '', (int) 790 => 'Qusor', (int) 791 => 'Block 13', (int) 792 => 'Sabah Al Salem', (int) 793 => 'Zahra', (int) 794 => 'Adailiya', (int) 795 => 'Salam', (int) 796 => 'Shuhada', (int) 797 => 'Messila', (int) 798 => 'Mangaf', (int) 799 => 'Abu Fatira', (int) 800 => 'Mubarak Al-Abdullah', (int) 801 => 'Mubarak Al Kabeer', (int) 802 => 'Fnaitees', (int) 803 => 'Bahrain Financial Harbour', (int) 804 => 'Fahaheel', (int) 805 => 'Sabhan Industrial Area', (int) 806 => 'Alcorniche', (int) 807 => 'Al-Masayel', (int) 808 => 'Wista', (int) 809 => 'Al Wafrah', (int) 810 => 'Diplomatic Area', (int) 811 => 'Al Khiran', (int) 812 => 'Bnaider', (int) 813 => 'Al-Julaia'a', (int) 814 => 'Alguful', (int) 815 => 'Ministries Zone', (int) 816 => '', (int) 817 => 'Al Zour', (int) 818 => 'Al Adliyah Ave', (int) 819 => 'Mahooz', (int) 820 => 'Ghuraifa', (int) 821 => 'Alghurayfah', (int) 822 => 'Alghurayfah', (int) 823 => 'Qudaibiya', (int) 824 => 'Bu Ghazal', (int) 825 => 'Alfateh', (int) 826 => 'Alfateh', (int) 827 => 'Alsalmaniya', (int) 828 => 'Alsalmaniya', (int) 829 => 'Alnaim', (int) 830 => 'Al Manar', (int) 831 => 'Ar Rawabi', (int) 832 => 'Al Hamra', (int) 833 => 'Al Khalidiyah', (int) 834 => 'Rajajinagar', (int) 835 => 'Ramamurthy Nagar', (int) 836 => 'Adugodi', (int) 837 => 'Agram', (int) 838 => 'Kodihalli', (int) 839 => 'Arakere', (int) 840 => 'Domlur Layout', (int) 841 => 'Armane Nagar', (int) 842 => 'Koppa Gate', (int) 843 => '', (int) 844 => 'Richards Town', (int) 845 => 'Domlur Layout', (int) 846 => 'Electronic City', (int) 847 => '', (int) 848 => 'RR Nagar', (int) 849 => 'Electronic City', (int) 850 => 'Banashankari', (int) 851 => 'Ganganagar', (int) 852 => 'Banaswadi', (int) 853 => 'RT Nagar', (int) 854 => 'Basavanagudi', (int) 855 => 'Ragavendra Nagar', (int) 856 => 'Puttenahalli, Phase 7', (int) 857 => 'Basaveshwara Nagar', (int) 858 => 'Sadduguntepalya', (int) 859 => 'Ganganagar', (int) 860 => 'Bilekahalli', (int) 861 => 'Sahakara Nagar', (int) 862 => 'HBR Layout', (int) 863 => 'Pulikeshi Nagar', (int) 864 => 'Bommanahalli', (int) 865 => 'Sanjaynagar', (int) 866 => 'HBR Layout', (int) 867 => 'Hebbal', (int) 868 => 'Bommasandra', (int) 869 => 'Peenya', (int) 870 => 'Sarvagnanagar', (int) 871 => 'Brookefield', (int) 872 => 'Hebbal', (int) 873 => 'Palace Guttahalli', (int) 874 => 'BTM Layout', (int) 875 => 'Byatarayanapura', (int) 876 => 'Hebbal Kempapura', (int) 877 => 'Shivaji Nagar', (int) 878 => 'Padmanabhanagar', (int) 879 => 'Hebbal Kempapura', (int) 880 => 'Neelasandra', (int) 881 => 'C V Raman Nagar', (int) 882 => 'Hoodi', (int) 883 => 'Hoodi', (int) 884 => 'Carmelaram', (int) 885 => 'Sulikunte', (int) 886 => 'Nayanda Halli', (int) 887 => 'Chamrajpet', (int) 888 => 'Chikpete', (int) 889 => 'Hormavu', (int) 890 => 'Chikkalasandra', (int) 891 => 'Cox Town', (int) 892 => 'Dasarahalli', (int) 893 => 'Hormavu', (int) 894 => 'Halasuru', (int) 895 => 'Nandini Layout', (int) 896 => 'HSR Layout', (int) 897 => 'Uttarahalli', (int) 898 => 'Hulimavu', (int) 899 => 'Indiranagar', (int) 900 => '', (int) 901 => 'Vasanth Nagar', (int) 902 => 'Vidyaranyapura', (int) 903 => 'J. P. Nagar', (int) 904 => 'Nagarbhavi', (int) 905 => 'Vijayanagar', (int) 906 => 'Jalahalli', (int) 907 => 'Murugeshpalya', (int) 908 => 'Mathikere', (int) 909 => 'Vimanapura', (int) 910 => 'Jalahalli East', (int) 911 => 'Whitefield', (int) 912 => 'Marathahalli', (int) 913 => 'Yelahanka', (int) 914 => 'Malleshwara', (int) 915 => 'Mahalakshmi Layout', (int) 916 => 'Jayanagar', (int) 917 => 'Lingadheeranahalli', (int) 918 => 'Jeevanbheemanagar', (int) 919 => 'Yeshwanthpur', (int) 920 => 'Jigani', (int) 921 => 'Kumaraswamy Layout', (int) 922 => 'Kaggadasapura', (int) 923 => 'Krishnarajapura', (int) 924 => 'Kalkere', (int) 925 => 'Koramangala', (int) 926 => 'Kamala Nagar', (int) 927 => 'Kengeri', (int) 928 => 'Kodigehalli', (int) 929 => '', (int) 930 => 'Muscat Hills', (int) 931 => 'Ghala Industrial Estate', (int) 932 => 'Al Ghubrah South', (int) 933 => '', (int) 934 => 'Al Azaiba South', (int) 935 => 'Darsait', (int) 936 => 'Al Ghubrah Ash Shamaliyyah', (int) 937 => 'Al Khuwayr North', (int) 938 => 'Qurum 29', (int) 939 => 'Ruwi', (int) 940 => 'Madinat As Sultan Qaboos', (int) 941 => 'Madinat Al Ilam', (int) 942 => 'Walja', (int) 943 => 'Hamriyah', (int) 944 => 'Shati Al Qurum', (int) 945 => 'Qurm', (int) 946 => 'Mina Al Fahl', (int) 947 => 'Mutrah', (int) 948 => 'Ruwi Village', (int) 949 => 'Wadi Aday', (int) 950 => 'Hellatal Gidedah', (int) 951 => 'Al Wadi Al Kabir', (int) 952 => 'Ash Shutayfi', (int) 953 => 'Jibroo', (int) 954 => 'Takia', (int) 955 => 'Cairo', (int) 956 => 'Giza', (int) 957 => 'Alexandria', (int) 958 => 'Amman', (int) 959 => 'Irbid', (int) 960 => 'Beirut', (int) 961 => 'Zamalek', (int) 962 => 'Smart Village', (int) 963 => 'Sheikh Zayed City', (int) 964 => 'El Obour City', (int) 965 => 'Al Manial', (int) 966 => 'Garden City', (int) 967 => 'Heliopolis', (int) 968 => 'Agouza', (int) 969 => '6th of October City', (int) 970 => 'Dokki', (int) 971 => 'Nasr City', (int) 972 => 'New Cairo City', (int) 973 => 'Abdeen', (int) 974 => 'Masaken Sheraton', (int) 975 => 'Imbaba', (int) 976 => 'Pune', (int) 979 => 'Karachi', (int) 980 => 'Kuala Lumpur', (int) 981 => 'Kathmandu', (int) 982 => 'Gurgaon', (int) 983 => 'Petaling Jaya', (int) 984 => 'Seri Kembangan', (int) 985 => 'Subang Jaya', (int) 986 => 'Kuching', (int) 987 => 'Kuching', (int) 988 => 'Johor Bahru', (int) 989 => 'Perak', (int) 990 => 'Perak', (int) 991 => 'Perak', (int) 992 => 'Perak', (int) 993 => 'Perak', (int) 994 => 'Hyderabad', (int) 995 => 'Abuja', (int) 996 => 'Lagos', (int) 997 => 'Kano', (int) 998 => 'Wellington', (int) 999 => 'Auckland', (int) 1000 => 'São Paulo', (int) 1001 => 'Rio de Janeiro', (int) 1002 => 'Recife', (int) 1003 => 'Salvador', (int) 1004 => 'Brasília', (int) 1005 => 'Fortaleza', (int) 1006 => 'Belo Horizonte', (int) 1007 => 'Manaus', (int) 1008 => 'Curitiba', (int) 1009 => 'Porto Alegre', (int) 1010 => 'Belém', (int) 1011 => 'Campinas', (int) 1012 => 'Goiânia', (int) 1013 => 'Guarulhos', (int) 1014 => 'Lisboa', (int) 1015 => 'Porto', (int) 1016 => 'Luanda', (int) 1017 => 'Polokwane', (int) 1018 => 'Giza', (int) 1019 => 'Toronto', (int) 1020 => 'Montreal', (int) 1021 => 'Vancouver', (int) 1022 => 'Ottawa', (int) 1023 => 'Halifax', (int) 1024 => 'Edmonton', (int) 1025 => 'Mississauga', (int) 1026 => 'Sydney', (int) 1027 => 'Melbourne', (int) 1028 => 'Brisbane', (int) 1029 => 'Perth', (int) 1030 => 'Adelaide', (int) 1031 => 'Nairobi', (int) 1032 => 'Mombasa', (int) 1033 => 'Accra', (int) 1034 => 'Kumasi', (int) 1035 => 'London', (int) 1036 => 'Birmingham', (int) 1037 => 'Manchester', (int) 1038 => 'Glasgow', (int) 1039 => 'Newcastle', (int) 1040 => 'Sheffield', (int) 1041 => 'Liverpool', (int) 1042 => 'Leeds', (int) 1043 => 'Bristol', (int) 1044 => 'Belfast', (int) 1045 => 'Edinburgh', (int) 1046 => 'Aberdeen', (int) 1047 => 'Colombo', (int) 1048 => 'Kandy', (int) 1049 => 'Negombo', (int) 1050 => 'Leicester', (int) 1051 => 'Penang', (int) 1052 => 'Islamabad', (int) 1053 => 'Lahore', (int) 1054 => 'Faisalabad', (int) 1055 => 'Rawalpindi', (int) 1056 => 'Multan', (int) 1057 => 'Gujranwala', (int) 1058 => 'Peshawar', (int) 1059 => 'Quetta', (int) 1060 => 'Sargodha', (int) 1061 => 'Sialkot', (int) 1062 => 'Bahawalpur', (int) 1063 => 'Sukkur', (int) 1064 => 'Jhang', (int) 1065 => 'Shekhupura', (int) 1066 => 'Mardan', (int) 1067 => 'Gujrat', (int) 1068 => 'Larkana', (int) 1069 => 'Kasur', (int) 1070 => 'Rahim Yar Khan', (int) 1071 => 'Sahiwal', (int) 1072 => 'Tamale', (int) 1073 => 'Takoradi', (int) 1074 => 'Ashaiman', (int) 1075 => 'Kisumu', (int) 1076 => 'Nakuru', (int) 1077 => 'Eldoret', (int) 1078 => 'Kehancha', (int) 1079 => 'Ruiru', (int) 1080 => 'Christchurch', (int) 1081 => 'Hamilton', (int) 1082 => 'Tauranga', (int) 1083 => 'Napier-Hastings', (int) 1084 => 'Dehiwala-Mount Lavinia', (int) 1085 => 'Moratuwa', (int) 1086 => 'Sri Jayawardenepura Kotte', (int) 1087 => 'Sintra', (int) 1088 => 'Vila Nova de Gaia', (int) 1089 => 'Loures', (int) 1090 => 'Cascais', (int) 1091 => 'Cabinda', (int) 1092 => 'Huambo', (int) 1093 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(int) 1132 => 'Tondo', (int) 1133 => 'Intramuros', (int) 1134 => 'Al Mubarraz', (int) 1135 => 'King Abdullah Economic City', (int) 1136 => 'Ermita', (int) 1137 => 'Binondo', (int) 1138 => 'Malate', (int) 1139 => 'Paco', (int) 1140 => 'Sampaloc', (int) 1141 => 'Pandacan', (int) 1142 => 'Port Area', (int) 1143 => 'Quiapo', (int) 1144 => 'San Miguel', (int) 1145 => 'San Nicolas', (int) 1146 => 'Santa Ana', (int) 1147 => 'Santa Cruz', (int) 1148 => 'Santa Mesa', (int) 1149 => 'San Andres Bukid', (int) 1150 => 'Ayany', (int) 1151 => 'Gatwekera', (int) 1152 => 'Kambi Muru', (int) 1153 => 'Karanja', (int) 1154 => 'Kianda', (int) 1155 => 'Kisumu Ndogo', (int) 1156 => 'Laini Saba', (int) 1157 => 'Lindi', (int) 1158 => 'Makina', (int) 1159 => 'Mashimoni', (int) 1160 => 'Raila', (int) 1161 => 'Silanga', (int) 1162 => 'Soweto East', (int) 1163 => 'Soweto West', (int) 1164 => 'Benoni', (int) 1165 => 'Sarawak', (int) 1166 => 'Bulacan', (int) 1167 => 'Muntinlupa', (int) 1168 => 'Norwich', (int) 1169 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(int) 1208 => 'Devon', (int) 1209 => 'Malacca', (int) 1210 => 'Salcombe', (int) 1211 => 'Mohali', (int) 1212 => 'Pangasinan', (int) 1213 => 'Furanafushi', (int) 1214 => 'Langkawi', (int) 1215 => 'Ko Samui', (int) 1216 => 'Chiang Mai', (int) 1217 => 'Surat Thani', (int) 1218 => 'Rayong', (int) 1219 => 'Hua Hin', (int) 1220 => 'Cha-am', (int) 1221 => 'Bangplee', (int) 1222 => 'Zambales', (int) 1223 => 'Pangasinan', (int) 1224 => 'Jalandhar', (int) 1225 => 'Uttarakhand', (int) 1226 => 'Queensland', (int) 1227 => 'Letchworth Garden City', (int) 1228 => 'Bacolod City', (int) 1229 => 'Aamchit', (int) 1230 => 'Nicosia', (int) 1231 => 'Larnaca', (int) 1232 => 'Paphos', (int) 1233 => 'Limassol', (int) 1234 => 'Tyre', (int) 1235 => 'Byblos', (int) 1236 => 'Zahlé', (int) 1237 => 'Jounieh', (int) 1238 => 'Baalbek', (int) 1239 => 'Nabatieh', (int) 1240 => 'Aqaba', (int) 1241 => 'Madaba', (int) 1242 => 'Jerash', (int) 1243 => 'Ajloun', (int) 1244 => 'Kerak', (int) 1245 => 'Russayfah', (int) 1246 => 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We’ve been pioneers in flexible study for 130 years, and our online qualifications have helped thousands of people in 100+ countries to advance their careers.<br /> <br /> Our courses are internationally recognised and accredited by highly respected, industry-leading awarding bodies, so they’re guaranteed to make your CV stand out to employers.<br /> <br /> Plus, our courses are highly flexible, letting you set your own pace and schedule so that you can easily fit study around full-time work and family commitments.<br /> <br /> When you enhance your professional skills with us, you’ll also benefit from:</p><ul> <li> Unlimited tutor support</li> <li> Live online classrooms led by expert tutors</li> <li> Interest-free payment plans to spread the cost gradually</li> <li> 99% pass rate for CIPD</li></ul><p> <br /> That’s why we’re the UK’s most recommended and trusted online learning provider, with a Trustpilot score of 4.8/5 from over 3,000 independent reviews.<br /> <br /> Our students achieve incredible career success – contact us today to find out how you can join them.</p>', 'spotlight' => null, 'meta_title' => 'ICS Learn Online Courses', 'meta_description' => 'Courses from ICS Learn Online', 'meta_keywords' => '', 'contact_person_position' => null, 'certificate' => null, 'course_csa_keywords' => 'Online HR, CIPD', 'lang_code' => 'en', 'draft' => '0' ), 'Geocode' => array(), 'Route' => array(), 'Type' => 'Course' ), (int) 1 => array( 'Course' => array( 'id' => '132968', 'seeder_id' => '15', 'edited_seeder_id' => '15', 'edited_client_id' => '1086', 'title' => 'Machine Learning Foundation', 'external_link' => 'https://learnerspoint.org/machine-learning-foundation-training', 'objectives' => null, 'photo_cta' => null, 'photo' => null, 'length' => '', 'next_session' => '', 'schedules' => null, 'duration' => '32 Hours', 'base_duration' => '0', 'timing' => '', 'location' => 'UAE, Dubai,Dubai', 'global_location_id' => '244,245,225,275', 'school' => 'Learners Point Training Institute', 'logo' => '', 'certificate_diploma' => 'yes', 'image' => '', 'brochure_url' => null, 'video' => '', 'cost' => '', 'price' => '3500', 'price_enquiry' => '0', 'course_status' => 'Paid', 'base_price' => '953', 'nondiscounted_base_price' => '1095.4', 'currency' => 'AED', 'discount' => '13% Off for Laimoon Users!', 'free_trial_text' => null, 'laimoon_offer' => '1', 'summary' => '<strong>OVERVIEW:</strong> Machine Learning is a method of getting computers to act independently without being explicitly programmed. The Machine Learning course in Dubai also covers topics of supervised and unsupervised learning, as well as the best practices in Machine Learning (bias/variation theory; the process of innovation in machine learning and artificial intelligence).<br /><br /><strong>CAREER OPPORTUNITIES:<br /><br />Market Trends: </strong>Technological advancements and the increase in data generation have led to the expansion of the Machine Learning (ML) market. Market analysts anticipate a market growth of ML to reach $ billion by 2022, representing a year–over–year increase. Job opportunities for ML professionals in Dubai are set to expand as Machine Learning job trends impact every industry.<br /><br /><strong>Salary Trends:</strong> Machine Learning jobs are among the highest paying in the world today, with salaries for Machine Learning Engineers increasing by in 2019. Due to the high demand for Machine Learning Dubai jobs, the compensation and benefits for the experts in this field have been elevated by manifolds. Machine Learning Engineers in the UAE with less than 3 years of experience earn an average salary of AED 221,314 annually.<br /><br /><strong>Demand and Opportunities:</strong> Machine Learning expertise has emerged as the most sought–after technical skill in Artificial Intelligence (AI) jobs. ML jobs are expected to be valued at almost $31 billion by 2024 with an annual growth rate of more than 40%. In the past 4 years, ML jobs have grown by almost 75%, boosting the demand for professionals with Machine Learning expertise.<br /><br /><strong>COURSE OUTLINE:</strong><br /><br />Machine Learning Introduction<ul> <li>What is Machine Learning</li> <li>Applications of Machine Learning</li> <li>Machine Learning vs Artificial Intelligence</li> <li>Machine Learning Languages and platforms</li> <li>Machine Learning vs Statistical Modelling</li></ul>Machine Learning Algorithm<ul> <li>Popular Machine Learning Algorithms</li> <li>Clustering, Classification, and Regression</li> <li>Supervised vs Unsupervised Learning</li> <li>Application of Supervised Learning Algorithms</li> <li>Application of Unsupervised Learning Algorithms</li> <li>Overview of modeling Machine Learning Algorithm: Train, Evaluation, and Testing.</li> <li>How to choose Machine Learning Algorithm</li></ul>Supervised Learning I<ul> <li>Simple Linear Regression: Theory, Implementing in Python (and R), Working on the use case</li> <li>Multiple Linear Regression: Theory, Implementing in Python (and R), Working on the use case</li> <li>K – Nearest Neighbors: Theory, Implementing in Python (and R), KNN advantages, Working on the use case</li> <li>Decision Trees: Theory, Implementing in Python (and R), Decision |Tree Pros and Cons, Working on the use case</li> <li>Random Forests: Theory, Implementing in Python (and R), Reliability of Random Forests, Working on the use case</li></ul>Supervised Learning II<ul> <li>Naive Bayes Classifier: Theory, Implementing in Python (and R), Why Naive Bayes is simple yet powerful, Working on the use case</li> <li>Support Vector Machines: Theory, Support vector machines with Python and R, Improving the performance with Kernels, Working on the use case</li> <li>Association Rules: Theory, Implementing in Python (and R), Working on the use case</li> <li>Model Evaluation: Overfitting & Underfitting</li> <li>Understanding Different Evaluation Models</li></ul>Unsupervised Learning II<ul> <li>K – Means Clustering: Theory, Euclidean Distance method.</li> <li>K – Means hands-on with Python (and R)</li> <li>K – Means Advantages & Disadvantages</li> <li>Hierarchical Clustering: Theory</li> <li>Hierarchical Clustering with Python (and R)</li> <li>Hierarchical Advantages & Disadvantages</li></ul>Dimensionality Reduction<ul> <li>Dimensionality Reduction: Feature Extraction & Selection</li> <li>Principal Component Analysis (PCA): Theory, Eigen Vectors</li> <li>PCA example with Python (and R) with use case</li> <li>Advantages of Dimensionality Reduction</li> <li>Application of Dimensionality Reduction with a case study</li> <li>Collaborative Filtering & Its Challenges</li></ul><strong>KEY TAKEAWAYS:</strong><br /><br />After completing our Machine Learning Foundation course in Dubai will enable a candidate to:<ul> <li>Become familiar with Machine Learning concepts</li> <li>Develop a deep understanding of the fundamentals of Machine Learning and Statistical Modeling</li> <li>Incorporate Machine Learning into practice</li> <li>Familiarize with Supervised and Unsupervised Learning</li> <li>Employ the concepts of Machine Learning at the workplace</li></ul><strong>ACCREDITATION:</strong><br /><br />Our Machine Learning Foundation course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).<br /><br /><strong>ALUMNI: </strong>Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.<br /><br /><strong>WHY LEARNER’S POINT:</strong><br /><br />Being the leading Machine Learning course provider in Dubai, we have substantial experience in teaching relevant skills and knowledge.<br />Our Machine Learning course offers the following advantages:<ul> <li>Our Machine Learning course is designed based on real-world scenarios, formulating and evaluating practical requirements</li> <li>Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it</li> <li>We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment</li> <li>To enhance the learning experience of our students we provide organized group sessions and integrated training modules</li> <li>Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations</li></ul>', 'outline' => null, 'who_should_take_this_course' => '', 'eligibility' => 'The Machine Learning Foundation course is most suitable for professionals seeking to gain knowledge on the fundamentals of ML. 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The Machine Learning course in Dubai also covers topics of supervised and unsupervised learning, as well as the best practices in Machine Learning (bias/variation theory; the process of innovation in machine learning and artificial intelligence).<br /><br /><strong>CAREER OPPORTUNITIES:<br /><br />Market Trends: </strong>Technological advancements and the increase in data generation have led to the expansion of the Machine Learning (ML) market. Market analysts anticipate a market growth of ML to reach $ billion by 2022, representing a year–over–year increase. Job opportunities for ML professionals in Dubai are set to expand as Machine Learning job trends impact every industry.<br /><br /><strong>Salary Trends:</strong> Machine Learning jobs are among the highest paying in the world today, with salaries for Machine Learning Engineers increasing by in 2019. Due to the high demand for Machine Learning Dubai jobs, the compensation and benefits for the experts in this field have been elevated by manifolds. Machine Learning Engineers in the UAE with less than 3 years of experience earn an average salary of AED 221,314 annually.<br /><br /><strong>Demand and Opportunities:</strong> Machine Learning expertise has emerged as the most sought–after technical skill in Artificial Intelligence (AI) jobs. ML jobs are expected to be valued at almost $31 billion by 2024 with an annual growth rate of more than 40%. In the past 4 years, ML jobs have grown by almost 75%, boosting the demand for professionals with Machine Learning expertise.<br /><br /><strong>COURSE OUTLINE:</strong><br /><br />Machine Learning Introduction<ul> <li>What is Machine Learning</li> <li>Applications of Machine Learning</li> <li>Machine Learning vs Artificial Intelligence</li> <li>Machine Learning Languages and platforms</li> <li>Machine Learning vs Statistical Modelling</li></ul>Machine Learning Algorithm<ul> <li>Popular Machine Learning Algorithms</li> <li>Clustering, Classification, and Regression</li> <li>Supervised vs Unsupervised Learning</li> <li>Application of Supervised Learning Algorithms</li> <li>Application of Unsupervised Learning Algorithms</li> <li>Overview of modeling Machine Learning Algorithm: Train, Evaluation, and Testing.</li> <li>How to choose Machine Learning Algorithm</li></ul>Supervised Learning I<ul> <li>Simple Linear Regression: Theory, Implementing in Python (and R), Working on the use case</li> <li>Multiple Linear Regression: Theory, Implementing in Python (and R), Working on the use case</li> <li>K – Nearest Neighbors: Theory, Implementing in Python (and R), KNN advantages, Working on the use case</li> <li>Decision Trees: Theory, Implementing in Python (and R), Decision |Tree Pros and Cons, Working on the use case</li> <li>Random Forests: Theory, Implementing in Python (and R), Reliability of Random Forests, Working on the use case</li></ul>Supervised Learning II<ul> <li>Naive Bayes Classifier: Theory, Implementing in Python (and R), Why Naive Bayes is simple yet powerful, Working on the use case</li> <li>Support Vector Machines: Theory, Support vector machines with Python and R, Improving the performance with Kernels, Working on the use case</li> <li>Association Rules: Theory, Implementing in Python (and R), Working on the use case</li> <li>Model Evaluation: Overfitting & Underfitting</li> <li>Understanding Different Evaluation Models</li></ul>Unsupervised Learning II<ul> <li>K – Means Clustering: Theory, Euclidean Distance method.</li> <li>K – Means hands-on with Python (and R)</li> <li>K – Means Advantages & Disadvantages</li> <li>Hierarchical Clustering: Theory</li> <li>Hierarchical Clustering with Python (and R)</li> <li>Hierarchical Advantages & Disadvantages</li></ul>Dimensionality Reduction<ul> <li>Dimensionality Reduction: Feature Extraction & Selection</li> <li>Principal Component Analysis (PCA): Theory, Eigen Vectors</li> <li>PCA example with Python (and R) with use case</li> <li>Advantages of Dimensionality Reduction</li> <li>Application of Dimensionality Reduction with a case study</li> <li>Collaborative Filtering & Its Challenges</li></ul><strong>KEY TAKEAWAYS:</strong><br /><br />After completing our Machine Learning Foundation course in Dubai will enable a candidate to:<ul> <li>Become familiar with Machine Learning concepts</li> <li>Develop a deep understanding of the fundamentals of Machine Learning and Statistical Modeling</li> <li>Incorporate Machine Learning into practice</li> <li>Familiarize with Supervised and Unsupervised Learning</li> <li>Employ the concepts of Machine Learning at the workplace</li></ul><strong>ACCREDITATION:</strong><br /><br />Our Machine Learning Foundation course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).<br /><br /><strong>ALUMNI: </strong>Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.<br /><br /><strong>WHY LEARNER’S POINT:</strong><br /><br />Being the leading Machine Learning course provider in Dubai, we have substantial experience in teaching relevant skills and knowledge.<br />Our Machine Learning course offers the following advantages:<ul> <li>Our Machine Learning course is designed based on real-world scenarios, formulating and evaluating practical requirements</li> <li>Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it</li> <li>We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment</li> <li>To enhance the learning experience of our students we provide organized group sessions and integrated training modules</li> <li>Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations</li></ul>', 'outline' => null, 'who_should_take_this_course' => null, 'career_path' => 'machine learning expert,senior data scientist,it manager', 'eligibility' => 'The Machine Learning Foundation course is most suitable for professionals seeking to gain knowledge on the fundamentals of ML. 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Machine Learning with Python course introduces the fundamental concepts and techniques of Machine Learning using a popular computer programming language, Python, that is used to develop websites, build software, and automate tasks. This course explores the general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.<br /><br /><strong>CAREER OPPORTUNITIES:<br /><br />Market Trends:</strong> Machine Learning has emerged to be the most in-demand technical skill globally in recent years. The annual growth rate of Machine Learning jobs is estimated to be over 40% during the next six years, which represents a market value of almost $31 billion by 2024. Machine Learning job trends are set to impact every industry, creating demand for experts in this field, hence the valuable knowledge of Python combined with Machine Learning provides an extra edge to the professionals.<br /><br /><strong>Salary Trends:</strong> Machine Learning jobs are a great choice for a high-paying career that will remain in demand for decades to come. In Dubai, United Arab Emirates (UAE), the median gross salary for a Machine Learning Engineer is AED 315,790 annually, ranking as one of the highest paying jobs in the UAE.<br /><br /><strong>Demand and Opportunities:</strong> Machine Learning has proliferated, with expertise in this field ranking as the most in-demand technical skill. In a recent report by Research and Markets, the global Machine Learning market is predicted to grow from $ billion in 2017 to $ billion by 2022. These statistics are evidence of the potential growth of AI and Machine Learning jobs in the global job market.<br /><br /><strong>COURSE OUTLINE:</strong><br /><br />Python for Machine Learning<ul> <li>Programming Basics</li> <li>Python Data Types</li> <li>Structures and conditional statements</li> <li>Python core packages</li> <li>Introduction to Jupyter Notebook</li> <li>Introduction to Numpy and Pandas</li> <li>Data filtering and selecting</li> <li>Find duplicates and treat missing values</li> <li>Concatenate and transform data</li></ul>Introduction to Machine Learning<ul> <li>Overview of Supervised and Unsupervised Machine Learning</li> <li>Linear Regression</li> <li>Clustering with K-means</li> <li>Naive Bayes Classification</li> <li>Introduction to Neural Networks</li></ul>Machine Learning Algorithm<ul> <li>Supervised Machine Learning algorithms</li> <li>K-Nearest Neighbors (KNN) concept and application</li> <li>Naive Bayes concept and application</li> <li>Logistic Regression concept and application</li> <li>Classification Trees concept and application</li> <li>Unsupervised Machine Learning algorithms</li> <li>Clustering with K-means concept and application</li> <li>Hierarchical Clustering concept and application</li></ul>Basic Statistics for Machine Learning<ul> <li>Basic Statistics and Exploratory Analysis</li> <li>Descriptive summary statistics with Numpy</li> <li>Summarize continuous and categorical data</li> <li>Outlier analysis</li></ul>Data Processing for Machine Learning<ul> <li>Advanced-Data Mugging</li> <li>Outlier Analysis</li> <li>Treating for missing values</li> <li>Normalization vs Standardization of data</li></ul>Building and Learning Machine Learning Model<ul> <li>Setting up the project with ML workflow.</li> <li>Data Preprocessing and statistical exploration</li> <li>Building, Training, and evaluation of Machine Learning Model</li></ul>Hand on Case Study: Property Estimation with ML<ul> <li>Analysis of the case study: Property Estimations</li> <li>Setting up the project with ML workflow</li> <li>Data Preprocessing and statistical exploration</li> <li>Choosing the Machine Learning Algorithm for this case</li> <li>Building, Training, and evaluation of Machine Learning Model</li></ul><strong>KEY TAKEAWAYS:</strong><br /><br />After completing the Machine Learning with Python course, participants will be able to: <ul> <li>Understand the principles and applications of Machine Learning</li> <li>Explore the utilization of Machine Learning through Python</li> <li>Analyze, manipulate, and visualize data using Python libraries</li> <li>Design Machine Learning algorithm</li> <li>Comprehend and analyze data structures and intricate logic</li> <li>Optimize predictive performance with multiple learning algorithms</li></ul><strong>ACCREDITATION:</strong><br /><br />Our Machine Learning with Python course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).<br /><br /><strong>ALUMNI:</strong> Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.<br /><br /><strong>WHY LEARNER’S POINT:</strong><br /><br />As one of the top providers of Machine Learning with Python courses, we have extensive experience and comprehensive knowledge in the ;<br /><br />The following are the key benefits offered by our Machine Learning with Python course:<ul> <li>Our Machine Learning with Python course is designed based on real-world scenarios, formulating and evaluating practical requirements</li> <li>Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it</li> <li>We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment</li> <li>To enhance the learning experience of our students we provide organized group sessions and integrated training modules</li> <li>Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations</li></ul>', 'outline' => null, 'who_should_take_this_course' => '', 'eligibility' => 'ELIGIBILITY: This course is best suited for graduates who intend to pursue a career in Data Science or Data Analytics also with an aim to develop knowledge of Python Language. 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1.277-.962 1.821-1.412 1.343-1.438 1.993-1.432 3.468h2.005c-.013-.664.03-1.203.935-2.178.677-.73 1.519-1.638 1.536-3.022.011-.924-.284-1.719-.854-2.297z"/></svg> <span>Instructor led live virtual classroom online. Classes may be individual or in group.</span> </a> </span> </div> </div> <div class="info-differ"> <div class="info-common"> <span class="info2"> <small>Duration: </small> <strong>18 To 24 Months</strong> </span> </div> </div> </div> <div class="block-right col-md-4 col-xs-4"> <div class="course-logo"> <a target="_blank" title="More Courses from ICS Learn" href="https://courses.laimoon.com/online/schools/ics-learn"> <picture> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1522134262-ICSLearn-Logo-RGB.webp" type="image/webp" id="1608487598"> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1522134262-ICSLearn-Logo-RGB.png" type="image/png"> <img class="lazyload b-lazy" data-src="https://cdn.laimoon.com/listing_120_60/content_1522134262-ICSLearn-Logo-RGB.png" src="https://cdn.laimoon.com/courses/img/ph_small.gif" title="More about ICS Learn" alt="More about ICS Learn" border="0" width="120" height="60" /> </picture> </a> </div> <span class="info1"> <strong><span><ins course-cost="USD-5461">USD 5,461</ins><br><small class="with-strike"><strike course-cost="USD-9102">USD 9,102</strike></small></span></strong> </span> <div class="hidden-xs promotion-bar promotion-deals "> 40% Off for Laimoon Users! 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Classes may be individual or in group.</span> </a> </span> </div> </div> <div class="info-differ"> <div class="info-common"> <span class="info2"> <small>Duration: </small> <strong>32 Hours</strong> </span> </div> </div> </div> <div class="block-right col-md-4 col-xs-4"> <div class="course-logo"> <a target="_blank" title="More Courses from Learners Point Training Institute" href="https://courses.laimoon.com/online/schools/learners-point-training-institute"> <picture> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.webp" type="image/webp" id="1611092611"> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.png" type="image/png"> <img class="lazyload b-lazy" data-src="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.png" src="https://cdn.laimoon.com/courses/img/ph_small.gif" title="More about Learners Point Training Institute" alt="More about Learners Point Training Institute" border="0" width="120" height="90" /> </picture> </a> </div> <span class="info1"> <strong><span><ins course-cost="USD-953">USD 953</ins><br><small class="with-strike"><strike course-cost="USD-1095">USD 1,095</strike></small></span></strong> </span> <div class="hidden-xs promotion-bar promotion-deals "> 13% Off for Laimoon Users! 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Classes may be individual or in group.</span> </a> </span> </div> </div> <div class="info-differ"> <div class="info-common"> <span class="info2"> <small>Duration: </small> <strong>32 Hours</strong> </span> </div> </div> </div> <div class="block-right col-md-4 col-xs-4"> <div class="course-logo"> <a target="_blank" title="More Courses from Learners Point Training Institute" href="https://courses.laimoon.com/online/schools/learners-point-training-institute"> <picture> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.webp" type="image/webp" id="1594248692"> <source srcset="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.png" type="image/png"> <img class="lazyload b-lazy" data-src="https://cdn.laimoon.com/listing_120_60/content_1724156474-LP_Logo-01.png" src="https://cdn.laimoon.com/courses/img/ph_small.gif" title="More about Learners Point Training Institute" alt="More about Learners Point Training Institute" border="0" width="120" height="90" /> </picture> </a> </div> <span class="info1"> <strong><span><ins course-cost="USD-953">USD 953</ins><br><small class="with-strike"><strike course-cost="USD-1095">USD 1,095</strike></small></span></strong> </span> <div class="hidden-xs promotion-bar promotion-deals "> 13% Off for Laimoon Users! <a onclick="googleEventTrack('Courses', 'Clicked Promotion Button - Laimoon Deal', 'Machine Learning with Python');" href="https://courses.laimoon.com/course/part-time-machine-learning-with-python-learners-point-training-institute/virtual-classroom" class="promo-url ">get this deal</a> </div> </div> <div class="action-bottom margin-fix"> <div class="action-desk"> <label title="Learn more about Machine Learning with Python Course" class="request top-request coursecheckbox"> <cite class='icon'></cite><cite class='icon-to-fade'></cite> <input class="coursecheck133757" type="checkbox" name="reqCourseIds[]" value="133757" /> <span>Get More Info</span> </label> <button 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include - APP/View/Layouts/default.ctp, line 740View::_evaluate() - CORE/Cake/View/View.php, line 920View::_render() - CORE/Cake/View/View.php, line 883View::renderLayout() - CORE/Cake/View/View.php, line 539View::render() - CORE/Cake/View/View.php, line 483Controller::render() - CORE/Cake/Controller/Controller.php, line 957CoursesController::index() - APP/Controller/CoursesController.php, line 230ReflectionMethod::invokeArgs() - [internal], line ??Controller::invokeAction() - CORE/Cake/Controller/Controller.php, line 485Dispatcher::_invoke() - CORE/Cake/Routing/Dispatcher.php, line 186Dispatcher::dispatch() - CORE/Cake/Routing/Dispatcher.php, line 161[main] - APP/webroot/index.php, line 100