MLStanford-Coursera
Completed exercises for Machine Learning course
- Week 1: Linear regression (1 var), cost function, gradient descent (no exercise)
- Week 2: Multivariate linear regression
- Week 3: Classification (binary and multiclass), logistic regression, regularization
- Week 4: Neural networks - representation, multiclass classification
- Week 5: Neural networks - backpropagation
- Week 6: Application and System Design
- Week 7: Support Vector Machines
- Week 8: K-Means clustering (unsupervised learning); Dimensionality Reduction (PCA)
- Week 9: Anomaly Detection and Recommender Systems
