This page mostly covers the extreme basics, there are a lot of information not covered inside here, like decision trees and recommndation systems.

Terminology & Basics

├── Ordinal vs Nominal Data

├── Categorical vs Continuous Data

├── One Hot Encoding

└── Supervised vs Unsupervised Learning

Metrics

├── TP vs TN vs FP vs FN

├── Metrics: Confusion matrix

└── Metrics: Accuracy | Precision | Recall | Specificity | ROC (WIP)

Regression Models

├── Simple Linear Regression