This repo is intended to collect the most useful resources I've found for studying machine learning and associated topics.
Machine Learning Basics - Short and Intuitive
PhD Student Lab Example - Units
An Introduction to Statistical Learning (both in R and Python)
An Introduction to Statistical Learning (both in R and Python)
3Blue1Brown's Probability of Probabilities Video
3Blue1Brown's Bayes Theorem Explanatory Video
Bayesian Networks Explained Simply
Link to the rest of the class above
Probabilistic Graphical Models - Stanford Course Notes
3Blue1Brown's Youtube Series on Neural Networks
Michael Neilson's Neural Networks and Deep Learning Online Book
Maybe Understanding Deep Learning?
Creating custom datasets in PyTorch
Basic Python Neural Nets with Explanations