Skip to content

About

content for the python and ML workshop

Resources

Stars

0 stars

Watchers

0 watching

Forks

 
 

Latest commit

 

History

21 Commits

Folders and files

Repository files navigation

PythonMLworkshop

Content for the python and ML workshop

Structure of the workshop

  1. Python/Python_Notebook.ipynb
  2. Python/numpy-tutorial.ipynb
    Pandas/*.ipynb

  3. ML/Machine Learning.pptx

  1. numpy-linearreg.ipynb
  2. ML/Basic01.ipynb
  3. ML/SVM02.ipynb
  4. ML/Random_forest03.ipynb
  5. improving a model.ipynb

  1. ML/tf_classification.ipynb
  2. ML/tf_overfit_and_underfit.ipynb

Also check out https://github.com/vybhav2000/Python-And-ML

About

content for the python and ML workshop

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages