GitHub - diogofferreira/machine-learning-coursera: Resolutions and resources from Coursera Machine Learning course

My implementations for the assignments from Machine Learning course taught by Andrew Ng, from Standford University.

The (Octave/Matlab) code is together with week's pratical guides to check the assignment objetives.

The lecture slides are also available.

For more information see the Course page.

@ Diogo Ferreira

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
lecture-slides		lecture-slides
machine-learning-ex1 (Linear Regression)		machine-learning-ex1 (Linear Regression)
machine-learning-ex2 (Logistic Regression)		machine-learning-ex2 (Logistic Regression)
machine-learning-ex3 (Multi-class Classification and Neural Networks)		machine-learning-ex3 (Multi-class Classification and Neural Networks)
machine-learning-ex4 (Neural Network Learning)		machine-learning-ex4 (Neural Network Learning)
machine-learning-ex5 (Regularized Linear Regression and Bias or Variance)		machine-learning-ex5 (Regularized Linear Regression and Bias or Variance)
machine-learning-ex6 (Support Vector Machines)		machine-learning-ex6 (Support Vector Machines)
machine-learning-ex7 (K-Means Clustering and PCA)		machine-learning-ex7 (K-Means Clustering and PCA)
machine-learning-ex8 (Anomaly Detection and Recommender Systems)		machine-learning-ex8 (Anomaly Detection and Recommender Systems)
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md

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