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courseramachinelearningstanford's Introduction

Coursera Machine Learning Stanford

MATLAB solutions to the assignments of Andrew Ng's Coursera Machine Learning course from Stanford

Programming Exercise One: Linear Regression

  • ex1.m Linear Regression with one variable
  • ex1_multi.m Linear Regression with multiple variables

Programming Exercise Two: Logistic Regression

  • ex2.m Logistic Regression without regularization
  • ex2_reg.m Logistic Regression with regularization

Programming Exercise Three: Multi-class Classification and Neural Networks

  • ex3.m Logistic Regression for multi-class classification
  • ex3_nn.m Neural Networks for multi-class classification

Programming Exercise Four: Neural Networks Learning

Programming Exercise Five: Regularized Linear Regression and Bias vs variance

  • ex5.m Regularized Linear Regression, Bias vs variance and Polynomial Regression

Programming Exercise Six: Support Vector Machines

Programming Exercise Seven: K-means Clustering and Principal Component Analysis

Programming Exercise Eight: Anomaly Detection and Recommender Systems

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