Implementation of the exercises of the MOOC Machine Learning by Andrew Ng on Coursera. The different implemented topics are described below:
- linear regression (both one and several variables)
- logistic regression
- regularization
- neural networks
- SVM (support vector machine)
- clustering
- PCA (principal component analysis)
- anomaly detection
- recommander systems