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)
Exercises cover following topics
- 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