<?xml version="1.0" encoding="UTF-8"?><rss
version="2.0"	xmlns:content="http://purl.org/rss/1.0/modules/content/"	xmlns:wfw="http://wellformedweb.org/CommentAPI/"	xmlns:dc="http://purl.org/dc/elements/1.1/"	xmlns:atom="http://www.w3.org/2005/Atom"	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"	xmlns:slash="http://purl.org/rss/1.0/modules/slash/">	<channel><title>Laimoon.com</title><link>https://courses.laimoon.com/sitemap/rss</link>	    <description>Courses in Dubai, Abu Dhabi, Sharjah Diplomas, Degrees &amp; Doctorates - Laimoon Course Guide</description>	    <language>en-us</language>	    	    	    						<item><title><![CDATA[Full-Stack Software Development with Machine Learning  - Ubunifu College , Kenya, Nairobi ]]></title><link>https://courses.laimoon.com/course/full-stack-software-development-with-machine-learning-ubunifu-college-of-artificial-intelligence/online</link>				  <description>				  <![CDATA[						1. Front- End<br
/>Computer Science Fundamentals<br
/>HTML 5<br
/>CSS 3<br
/>JavaScript<br
/>Bootstrap<br
/>UI/UX design Principles<br
/>2. Version Control<br
/>Git<br
/>3. Back-end<br
/>Python (Django)<br
/><br
/><br
/>PHP (Laravel)<br
/>4. Databases<br
/>MySQL<br
/>MongoDB<br
/>Firebase<br
/>SQLite<br
/>5. Test Driven Development (TDD)<br
/>Unittest<br
/>Mocha<br
/>Chai<br
/>Mockito<br
/><br
/>Machine learning<br
/>1. Getting Started<br
/>2. Data Preprocessing<br
/>3. Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression<br
/>4. Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification<br
/>5. Clustering: K-Means, Hierarchical Clustering<br
/>6. Association Rule Learning: Apriori, Eclat<br
/>7. Reinforcement Learning: Upper Confidence Bound, Thompson Sampling<br
/>8. Natural Language Processing: Bag-of-words model and algorithms for NLP<br
/>9. Dimensionality Reduction: PCA, LDA, Kernel PCA<br
/>10. Model Selection &amp; Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost<br
/><br
/>Deep learning<br
/>1. Artificial Neural Networks to solve a Customer Churn problem<br
/>2. Convolutional Neural Networks for Image Recognition<br
/>3. Recurrent Neural Networks to predict Stock Prices<br
/>4. Self-Organizing Maps to investigate Fraud<br
/>5. Boltzmann Machines to create a Recomender System<br
/>6. Stacked Autoencoders<p>Cost: 150000 KES</p><p>Duration: Upto 7 Months</p>					]]>				  </description>				  <pubDate>Sun, 09 Feb 2020 19:59:37 +04</pubDate>				</item> 								<item><title><![CDATA[Software Development Fundamentals with Machine Learning  - Ubunifu College , Kenya, Nairobi ]]></title><link>https://courses.laimoon.com/course/software-development-fundamentals-with-machine-learning-ubunifu-college-of-artificial-intelligence/online</link>				  <description>				  <![CDATA[						<strong>Front End</strong><br
/>1. Computer Science Fundamentals<br
/>2. HTML5<br
/>3. CSS3<br
/>4. Bootstrap<br
/>5. JavaScript<br
/><strong>Version Control</strong><br
/>6. Git<br
/>Simple Back-end<br
/>7. Firebase Database<br
/>8. Building a simple Back-end using Firebase &amp; JavaScript<br
/><strong></strong><br
/>9. UI/UX Best Practices<br
/>10. Software Development Life Cycle &amp; Best Practices<br
/>11. Deploy your product to a web server<br
/>&nbsp;<p>Cost: 30000 KES</p><p>Duration: Upto 6 Weeks</p>					]]>				  </description>				  <pubDate>Sun, 09 Feb 2020 19:38:07 +04</pubDate>				</item> 					</channel></rss>
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