Some useful websites and video series that I refer to:
- Setosa: Nice visual explanations of certain techniques
- Scipy: Introduction to scipy statistical packages
- JohnWittenauer: Blog with posts on Python machine learning
- JakeVanderPlas: Sklearn Machine Learning guide from the man!
- JosePortilla: Notebooks from the famous Udemy Python instructor.
- SkLearn Tutorials: Notebooks
- FreeCodeCamp: Very basic tutorials with videos.
- YellowBricks: Damn simple graphing package that is compatible with sklearn!
- Medium: 10 Essential Statistical Techniques
Decision Boundaries from Various Machine Learning Algorithm
Sci-Kit Learn Cheat Sheet from Data Camp
Decision Tree Map to use what Machine Learning Technique
