- Richie Ng's ML Tutorials
- Curated list of ML Tutorials
- Essence of Linear Algebra
- Youtube tutorial series on the essence of linear algebra
- Linear Algebra in Python
- Curated List of Python Tutorials for Data Science and Machine Learning
- A list of Python tutorials for data science, machine learning and natural language processing
- Machine Learning & Deep Learning Tutorials
- This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resources.
- Probability and Statistics: Seeing Theory
- Great visuals for the learning or reviewing the fundamentals of probability and statistics!
- Data Wrangling with Python and Pandas
- Machine Learning Mastery
- Perfect for beginners. Lets you jump right into the practical applications of machine learning with beginner-friendly tutorials.
- Andrew Ng's Machine Learning Course on Coursera
- A bit more advanced and in-depth. Requires some background in Calculus, Linear algebra, and Octave/Matlab Programming. Gives great explanations of how machine learning algorithms work.
- Reinforcement Learning Github
- The Complete Machine Learning Bookshelf
- Pattern Recognition by Sergios Theodoridis and Konstantinos Koutroumbas
- Elements of Statistical Learning
- Kaggle
- UC Irvine Machine Learning Repository
- 17 Ultimate Data Science Projects To Boost Your Knowledge and Skills
- Cross Validated
- For ML/AI questions, this is the place to go.