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
gourav3017/Stanford-Machine-Learning
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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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