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Some general ML algorithms implemented from scratch and using libraries.

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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

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Some general ML algorithms implemented from scratch and using libraries.

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