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Python for Machine Learning and Data Science

This repository will provide a way to learn python and Machine Learning through doing.

Contents

  1. Setting up the Environment
  2. Input and Output
  3. Data Structures
  4. Control Statements
  5. Functions
  6. Class
  7. Class Inheritance
  8. Exception Handling
  9. Basic File Operations
  10. Into to Machine Learning
  11. Intro to Neural Networks
  12. Pandas
  13. Numpy

How to use this repo

  1. Clone this repository
  2. run each of the .ipynb by running jupyter notebook
  3. You can install jupyter notebook by
    $ pip install jupyter
  4. start the tutorial from 1_environment_setup.ipynb and advance accordingly.

For detailed information do check this post: https://medium.com/the-renaissance-developer/python-101-the-basics-441136fb7cc3

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Quickly learn Python for Machine Learning and Data Science. Also get insights to the world of Machine learning, Neural Networks and Data Science Packages

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