My solutions for the assignments of Stanford/Coursera Machine Learning course taught by Andrew Ng. The session ended on October 5, 2015.
- Linear Regression
- Logistic Regression
- Multi-class Classification and Neural Networks
- Neural Network Learning
- Regularized Linear Regression and Bias/Variance
- Support Vector Machines
- K-Means Clustering and PCA
- Anomaly Detection and Recommender Systems
I've managed to lose the solutions for the first few assignments, but the rest of them are present in this repo.