Python Programming Machine Learning with Python CLS Learn
Learn basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python ;
Duration : 40 Training Hours
Perquisites:Basic skills with at least one programming language are ;
Training Topics:
- Python introduction and syntax
- Python data types and operations
- Functions and files
- Exceptions and OOP in python
- Regular expressions in python
- Multithreading and multiprocessing
- Sockets and APIs in python
- Database with SQLite
- Building your own server with flask
- Numpy and matrix operations
- Pandas and data handling
- Time Series modeling in pandas
- Data visualization with matplotlib and seaborn
- Git command line and gui based
- Big data with python using pyspark
Machine Learning with Python
Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great place to start!
Duration : 40 Training Hours
Training Topics:
- Data preprocessing
- Basic maths for machine learning and deep learning
- Loss functions
- Gradient descent
- How Machine learning work step by step
- Regression Problem and models
- Bias variance tradeoff
- Polynomial features
- Classification problem
- Logistic Regression
- K-nearest neighbor classifier and regressor
- Support vector machine (SVM)
- Naive Bayes
- Decision tree classifier and regressor
- Ensemble learning (voting classifiers, Bagging, Boosting, stacking)
- Cross validation
- Different metrics for model evaluation
- Hyper parameter tuning
- Dimensionality reduction
- Clustering and it’s models
- Web Scraping for data collecting
- Final project with Machine learning
This course is no longer available.
Course details
Python ProgrammingLearn basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python ;
Duration : 40 Training Hours
Perquisites:Basic skills with at least one programming language are ;
Training Topics:
- Python introduction and syntax
- Python data types and operations
- Functions and files
- Exceptions and OOP in python
- Regular expressions in python
- Multithreading and multiprocessing
- Sockets and APIs in python
- Database with SQLite
- Building your own server with flask
- Numpy and matrix operations
- Pandas and data handling
- Time Series modeling in pandas
- Data visualization with matplotlib and seaborn
- Git command line and gui based
- Big data with python using pyspark
Machine Learning with Python
Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great place to start!
Duration : 40 Training Hours
Training Topics:
- Data preprocessing
- Basic maths for machine learning and deep learning
- Loss functions
- Gradient descent
- How Machine learning work step by step
- Regression Problem and models
- Bias variance tradeoff
- Polynomial features
- Classification problem
- Logistic Regression
- K-nearest neighbor classifier and regressor
- Support vector machine (SVM)
- Naive Bayes
- Decision tree classifier and regressor
- Ensemble learning (voting classifiers, Bagging, Boosting, stacking)
- Cross validation
- Different metrics for model evaluation
- Hyper parameter tuning
- Dimensionality reduction
- Clustering and it’s models
- Web Scraping for data collecting
- Final project with Machine learning
Eligibility / Requirements
Perquisites:Basic skills with at least one programming language
Job roles this course is suitable for:
Senior Python Developer , Data Science Programmer , Python DeveloperCourse Location
About CLS Learn
Since 1995, CLS Learning solutions is leading the technology learning market in Egypt, the Middle East, and Africa. With our wide network of international partners, trainers, instructors, and technology leaders; we are able to deliver top notch training programs to our students and technology professionals.
25 Years in the market.
We delivered over 4,200 courses to 63,500 professionals in our centers.
We delivered 1,200 courses to 18,240 corporate employees on Site.
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