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README.md
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# MachineLearning
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MachineLearning
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+Implemented this as a part of Machine Learning Course( CS 6375 ) by Prof. Nicholas Ruozzi at University of Texas at Dallas(UTD).
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+Implemented Different Machine Learning Models like
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+1) Gradient Descent ( Linear Regression )
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+2) Stochastic Gradient Descent
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+3) Support Vector Machine (Quadratic Programming) for Binary Classification
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+4) Decision Trees for Classification
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+5) Bagging
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+6) Boosting
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+7) Dual SVM with Slack
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+8) Primal slack
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+9) K-Nearest Neighbours
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+10) K-Means Clustering
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+11) Spectral Clustering
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+12) Naive Bayes used for Classification
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+13) Naive Bayes with Sampling a Probability Distribution
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