Machine-Learning-Coursera-

Programming assignments for Machine Learning course from Coursera

Notice: These solutions are for reference only and should not be viewed by students currently enrolled in the course. If you read these solutions before completing the course, you will diminish the course's value for yourself and others.

HW1 Linear regression

Feature normalization, Gradient descent, Learning rate, Closed-form solution

HW2 Logistic regression

Sigmoid function, Feature mapping, Regularization

HW3 Hand-written digits recognition

Multi-class classification, One-vs-all classification

HW3&4 Neural network

Feedforward Propagation, Backpropagation, Random initialization, Reguralization

HW5 Regularized linear regression

Bias v.s. Variance

HW6 Spam classification using support vector machines

Support vector machines, Guassian kernel, Text preprocessing

HW7.1 Image compression using K-means

Color clustering

HW7.2 Face recognition using PCA

Dimensionality reduction, Eigenfaces