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Review of machine learning algorithms
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Regression – Linear Regression, Lasso, Ridge and Others- Implementation and Evaluation
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Classification – SVM, Naïve Bayes, Decision Trees, KNN, Random Forest – Implementation and Evaluation
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Clustering – K Means, DBScan, K Medoid – Implementation and Evaluation
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pandas –loading external dataset, data pre-processing
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Implementing – Regression, Classification and Clustering
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Evaluating and visualizing results