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

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

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Name		Name	Last commit message	Last commit date
Latest commit History 7 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.md		README.md