- Exercise 1: Linear Regression
- Exercise 2: Logistic Regression
- Exercise 3: Multi-class Classification and Neural Networks
- Exercise 4: Neural Network Learning
- Exercise 5: Regularized Linear Regression and Bias/Variance
- Exercise 6: Support Vector Machines
- Exercise 7: K-Means Clustering and PCA
- Exercise 8: Anomaly Detection and Recommender Systems
syaning/stanford-machine-learning
Exercises of Stanford Machine Learning class. In Matlab and Python.
Matlab