MLStanford-Coursera

Completed exercises for Machine Learning course

  • Week 1: Linear regression (1 var), cost function, gradient descent (no exercise)
  • Week 2: Multivariate linear regression
  • Week 3: Classification (binary and multiclass), logistic regression, regularization
  • Week 4: Neural networks - representation, multiclass classification
  • Week 5: Neural networks - backpropagation
  • Week 6: Application and System Design
  • Week 7: Support Vector Machines
  • Week 8: K-Means clustering (unsupervised learning); Dimensionality Reduction (PCA)
  • Week 9: Anomaly Detection and Recommender Systems

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