GitHub - zhouxc/Stanford-Machine-Learning-Course: machine learning course programming exercise

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Anomaly Detection and Recommender Systems		Anomaly Detection and Recommender Systems
DecisionTrees &Boosting		DecisionTrees &Boosting
HMM		HMM
K-Means Clustering and PCA		K-Means Clustering and PCA
Lectures		Lectures
Linear Regression		Linear Regression
Logistic Regression		Logistic Regression
Multi-class classification and neural networks		Multi-class classification and neural networks
Neural network learning		Neural network learning
Regularized linear regression and bias-variance		Regularized linear regression and bias-variance
Support Vector Machines		Support Vector Machines
README		README

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These are some programming exercise of Stanford Machine Learning Online Course. The algorithms were coded in python or matlab including: 1.Anomaly Detection and Recommender Systems 2.Decision Trees&Boosting 3.HMM 4.K-Means Clustering and PCA 5.Linear Regression 6.Logistic Regression (matlab/octave) 7.Multi-class classification and neural networks 8.Neural network learning 9.Regularized linear regression and bias-variance 10.Support Vector Machiness