ML-Algorithms

Some general ML algorithms implemented using Python 3 in Jupyter Notebook from scratch and using some libraries.
For Mathematical concepts and derivations, refer to the first two books mentioned in Books and E-books section.

References

Books and E-books

• Machine Learning by Tom M. Mitchell
• An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie & Robert Tibshirani
• Probability for Machine Learning, Discover How To Harness Uncertainty With Python by Jason Brownlee
• Statistical Methods for Machine Learning, Discover how to Transform Data into Knowledge with Python by Jason Brownlee
• Basics of Linear Algebra for Machine Learning, Discover the Mathematical Language of Data in Python by Jason Brownlee
• Master Machine Learning Algorithms, Discover how they Work and Implement them from Scratch by Jason Brownlee

Websites

• machinelearningmastery.com
• wikipedia.org
• medium.com
• scikit-learn.org
• docs.python.org
• tensorflow.org