notebooks with code from various science tutorials and books

• ubc_ml is the tutorial from 2013 from the University of British Columbia given by Nando de Freitas

Playlist of the video's from these lectures are here

• https://www.youtube.com/playlist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6

all math slides and Nando's

• http://www.cs.ubc.ca/~nando/540-2013/lectures.html

The notes I took from his courses, added the Latex formulas and code snippets in Python/ SKlearn to reproduce the results and show real examples and visualizations.

• pml_sr are the notebooks and code from Sebastian Raschka's excellent Python Machine Learning book with added text and notes for my own learning process.

• ml_models is code for various ml models for practising purposes.