lucasbpro / machine-learning-coursera

This contains my solutions to the assignments of the Coursera Machine Learning course taught by Andrew Ng. and offered by Stanford University.

Machine Learning - Coursera

This repository contains my solutions to the assignments from Machine-Learning course in Coursera, taught by Professor Andrew Ng and offered by Stanford University.

Assignments

• ex1: Linear Regression;
• ex2: Logistic Regression;
• ex3: Multi-class Classification and Neural Networks;
• ex4: Neural Networks Learning;
• ex5: Regularized Linear Regression and Bias vs. Variance;
• ex6: Support Vector Machines;
• ex7: K-means Clustering and Principal Component Analysis (PCA);
• ex8: Anomaly Detection and Recommending Systems.

How to run the files

The assignments are split into the folders "ex ". Most of the files within the folders are auxiliary functions called by a main Matlab script that is usually the one which starts with "ex".

So, for example, if you were to see the solutions for Exercise 3, you should run the scripts "ex3.m" (multi-class logistic regression) and "ex3_nn.m" (multi-class classification by using Neural Networks) found at "ex3" folder.