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Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

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hammadshaikhha/Data-Science-and-Machine-Learning-from-Scratch

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Style of notebooks

I write the notebooks to contain:

  1. Intuition

  2. Mathematics and Statistics behind the tool/algorithm

  3. Code implementation from scratch (using numpy)

  4. Application to real (publicly available) data

If you spot any mistakes in the code or the theory, feel free to raise an issue.

Contact

If you would like to directly contact me with queries related to this repository:

Email:hammy.shaikh@mail.utoronto.ca

Twitter:https://twitter.com/HammadShaikhha

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Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

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