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Basic Machine Learning Algorithms and their implementation with numpy/Tensorflow.

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Implementation of basic and complex machine learning algorithms in python.

The whole repository will act as a source for implementation of ML and DL algorithms, I will try updating and implementing nearly all of the basic as well as complex ones till end of May this year.

References:

  1. Intro to machine learning by Andrew NG
  2. ML: A probablistic approach
  3. CS231: Convolutional Neural Networks for Visual Recognition
  4. http://www.deeplearningbook.org

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Basic Machine Learning Algorithms and their implementation with numpy/Tensorflow.

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  • Python 69.3%
  • Jupyter Notebook 18.9%
  • C++ 11.8%