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Stanford-Machine-Learning

These are some programming exercise of Stanford Machine Learning Online Course. The algorithms were coded in octave 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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This repo includes stanford machine learning notes and projects which helped me to understand the underlying mathematics behind machine learning algorithms and how to apply them in the real world

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