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ML

This repository consists of theory and practice in ML

  1. Data - datasets folder.
  2. Visualization - folder with Matplotlib, Seaborn and Plotly. Practice will be in EDA projects in folder "Pandas".
  3. NumPy - NumPy folder.
  4. Pandas - Pandas folder with theory and (in future) EDA projects.
  5. Practical_Work - folder with ML nodels made "from scratch".
  6. Theory - folder with some ML theory.

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This repository consists of consists of theory and practice in ML

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