/datascience

notebooks with code from various science tutorials and books

Primary LanguageJupyter Notebook

datascience

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

all math slides and Nando's

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.