Skip to content

Latest commit

 

History

16 提交

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

仓库 files navigation

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 网络s
  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

关于

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

Topics

Resources

Stars

4 stars

关注者

3 watching

复刻s

发布

贡献者

Languages