Machine Learning Course by Andrew Ng Spring 2021

Lessons

1. Linear Regression
2. Logistic Regression
3. Multi-class Classification and Neural Networks
4. Neural Networks Learning
5. Regularized Linear Regression and Bias v.s. Variance
6. Support Vector Machines
7. K-means Clustering and Principal Component Analysis
8. Anomaly Detection and Recommender Systems