These lessons are shown in suggested viewing order.
Introduction to Random Forests
Random Forest Deep Dive
Performance, Validation and Model Interpretation
Feature Importance, Tree Interpreter
Extrapolation and RF from Scratch
Data Products and Live Coding
RF from Scratch and Gradient Descent
Gradient Descent and Logistic Regression
Regularization, Learning Rates and NLP
More NLP and Columnar Data
Embeddings
Complete Rossmann, Ethical Issues
