- Week 2 - Linear Regression, Feature Normalization, Gradient Descent, Normal Equations
- Week 3 - Logistic Regression, Regularization
- Week 4 - Multiclass Logistic Regression, Neural Net to predict handwritten digits
- Week 5 - Implementation of backpropogation
Covers Selects, Joins, Views, Constraints, Table Management, and more.