https://github.com/hammadshaikhha/Data-Science-and-Machine-Learning-from-Scratch

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
https://github.com/hammadshaikhha/Data-Science-and-Machine-Learning-from-Scratch

machine-learning machine-learning-algorithms machine-learning-from-scratch python siraj-raval statistical-concepts

Last synced: 11 days ago
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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.

• Host: GitHub
• URL: https://github.com/hammadshaikhha/Data-Science-and-Machine-Learning-from-Scratch
• Owner: hammadshaikhha
• Created: 2017-06-28T00:50:14.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-11-02T01:38:24.000Z (about 3 years ago)
• Last Synced: 2024-08-02T14:10:43.276Z (4 months ago)
• Topics: machine-learning, machine-learning-algorithms, machine-learning-from-scratch, python, siraj-raval, statistical-concepts
• Language: Jupyter Notebook
• Homepage:
• Size: 19.8 MB
• Stars: 429
• Watchers: 27
• Forks: 234
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# Data Science in Python from Scratch

# 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: 

Twitter: https://twitter.com/HammadShaikhha