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Week 1 : Data Preprocessing and Simple Linear Regression.
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Week 2 : Multiple Linear Regression.
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Week 3 : Polynomial Linear Regression and Support vector Regression
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Week 4 : Decision Tree Regression, Random Forest Regression and Evaluating Regression Models Perfomance.
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Week 5 : Logistic Regression and K-Nearest Neighbours Classification
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