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Learning how to use machine learning and deep learning algorithms/tips/tricks to solve practical problems in Python.

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In this repository, we will learn a basic workflow when using ML to solve a practical problem in Python

  • exploratory data analysis (EDA) (will be updated later)
  • data processing
  • train machine learning and deep learning models
  • make predictions on new data and evaluation.
Detailed implementaion is described in each Jupyter notebook.

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Learning how to use machine learning and deep learning algorithms/tips/tricks to solve practical problems in Python.

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