Coursera Machine Learning

Coursera assignments of Machine Learning Course taught by Andrew Ng from Stanford University, codes are written by MATLAB with Chinese code comments.

Eight parts in total.

ex1 Linear Regression

Linear regression with single variables and linear regression of bivariate.

ex2 Logistic Regression

Include regularization and mapping the features.

ex3 Logistic Regression - Multi Classification

ex4 Neural Network

A three-layer neural network is established to solve the classification problem.

ex5 Regularized Linear Regression and Deviation Variance

Analyze bias and variance. Polynomial regression is used.

ex6 Support Vector Machines

The Gaussian radial basis function is used for the nonlinear support vector machine.

ex7 Principle Component Analysis and K-Means Clustering

Using SVD for PCA.

ex8 Anomaly Detection and Collaborative Filtering

Using the multivariate Gaussian distribution for anomaly detection.