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.
Linear regression with single variables and linear regression of bivariate.
Include regularization and mapping the features.
A three-layer neural network is established to solve the classification problem.
Analyze bias and variance. Polynomial regression is used.
The Gaussian radial basis function is used for the nonlinear support vector machine.
Using SVD for PCA.
Using the multivariate Gaussian distribution for anomaly detection.