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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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