Machine Learning Books (open/free)

1. PythonDataScienceHandbook - just the perfect place to start, and stay in the deep...

Open Machine Learning Courses

1. Standford Machine Learning Course by Andrew Ng - classic!

Machine Learning Courses in Bulgaria

1. Machine Learning с Python - Курс във Факултета по Математика и Информатика към СУ (перфектни, както винаги)
2. СофтУни: Machine Learning - февруари 2019 - просто за информация

Machine Learning Algorithms

Podcasts

1. DataSkeptic Podcast
2. Linear Digressions
3. DataCamp's DataFramed Podcast
4. O’Reilly Data Show Podcast
5. This week in Machine Learning & AI

Tools, ecosystem

• git

  1. Adding an existing project to GitHub using the command line
  2. Adding a file to a repository using the command line

• Jupyter

  1. jupyterlab-extension - the official repository
  2. A curated list of awesome Jupyter projects, libraries and resources - nice collection in github for all kind of Jupyter related resources
  3. nbinteract - a Python package that creates interactive webpages from Jupyter notebooks
  4. Jupyter Notebooks and Virtual Environments - if you have problems running Jupyter in a virtenv.

• JupyterLab - Extensions (my selection)

  1. jupytext - Jupyter notebooks as Markdown documents, Julia, Python or R scripts
  2. jupyterlab-toc - Table of Contents extension for JupyterLab
  3. Spellchecker
  4. jupyterlab-lsp - Language Server Protocol integration for Jupyter(Lab)

Datasets Sources

• kaggle datasets
• The UCI Machine Learning Repository
• Miscellaneous Datasets - Department of Statistics University of Florida
• A collection of novel and benchmark datasets curated by UCD Researchersuseful for text classification projects

ML Process Templates

1. ML_Process_Template.ipynb

Other resources

1. C o r T e x T - A blog on AI, Neuroscience, Cognitive Science, Matematics and Statitistics