Andrew Ng Machine Learning Solutions

My solutions to the eight exercises of Andrew Ng's Machine Learning course. Solutions are in GNU Octave (primarily used for numerical computations)

• 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 (Principal Component Analysis)
• Exercise 8: Anomaly Detection and Recommender Systems