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Welcome to the Live Machine Learning Classes repository! In this series, I've covered everything from the basics of machine learning to advanced topics such as classification, regression, clustering, feature scaling, engineering, hyperparameter optimization, and deployment. Each class is available for viewing on YouTube, and the corresponding class files are provided in this repository for your convenience.

🔴 Entire Playlist is here

  • Playlist - Machine Learning End to End

Class Schedule

🔴 Class 1: Introduction to Machine Learning & Few Classification Algos

  • Class 1: Introduction to Machine Learning

🔴 Class 2: Classification - Theory and Practical Applications

  • Class 2: Classification - Theory and Practical Applications

🔴 Class 3: Regression - Understanding the Math and Practical Implementations

  • Class 3: Regression - Understanding the Math and Practical Implementations

🔴 Class 4: Regression Continued & Clustering Techniques

  • Class 4: Clustering Techniques and Applications

🔴 Class 5: Time Series Analysis & Forecasting

  • Class 5: Time Series Analysis & Forecasting

Apart from these classes, topcics like Feature Engineering can be found in the playlist

Class Files

All the materials used in the classes, including code samples, datasets, and additional resources, can be found in the corresponding folders within this repository. Feel free to explore the code, experiment with the datasets, and enhance your understanding of machine learning concepts through these comprehensive resources. Happy learning! If you have any questions or need further assistance, don't hesitate to reach out.

Best regards,

Satyajit Pattnaik

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