/MachineLearningAssignment

Coursera Machine Learning Course by Andrew Ng

Primary LanguageMATLAB

Machine Learning Assignment

Assigments for Coursera Machine Learning Course by Andrew Ng

Progress

Week 2

  • Warm-up Exercise
  • Computing Cost (for One Variable)
  • Gradient Descent (for One Variable)
  • Feature Normalization
  • Computing Cost (for Multiple Variables)
  • Gradient Descent (for Multiple Variables)
  • Normal Equations

Week 3

  • Sigmoid Function
  • Logistic Regression Cost
  • Logistic Regression Gradient
  • Predict
  • Regularized Logistic Regression Cost
  • Regularized Logistic Regression Gradien

Week 4

  • Regularized Logistic Regression
  • One-vs-All Classifier Training
  • One-vs-All Classifier Prediction
  • Neural Network Prediction Function

Week 5

  • Feedforward and Cost Function
  • Regularized Cost Function
  • Sigmoid Gradient
  • Neural Network Gradient (Backpropagation)
  • Regularized Gradient

Week 6

  • Regularized Linear Regression Cost Function
  • Regularized Linear Regression Gradient
  • Learning Curve
  • Polynomial Feature Mapping
  • Validation Curve

Week 7

  • Gaussian Kernel
  • Parameters (C, sigma) for Dataset 3
  • Email Preprocessing
  • Email Feature Extraction

Week 8

  • Find Closest Centroids (k-Means)
  • Compute Centroid Means (k-Means)
  • PCA
  • Project Data (PCA)
  • Recover Data (PCA)

Week 9

  • Estimate Gaussian Parameters
  • Select Threshold
  • Collaborative Filtering Cost
  • Collaborative Filtering Gradient
  • Regularized Cost
  • Regularized Gradient