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..
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machine_learning_andrewng
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1A. Linear Regression and Gradient Descent(Theory).ipynb
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1B. Linear Regression and Gradient Descent .ipynb
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1C. Assumptions in Linear Regression and Dummy variables.ipynb
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1D. Simple and Multiple Regression using Sci-kit learn.ipynb
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2. Backward Elimination.ipynb
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3. Polynomial Regression.ipynb
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4. Support Vector Regression.ipynb
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5. Decision Tree Regression.ipynb
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6. Random Forest.ipynb
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7. R Squared.ipynb
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8. Robust Regression (TheilSen Regressor).ipynb
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9. Pipelines in Sklearn.ipynb
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50_Startups.csv
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Position_Salaries.csv
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Salary_Data.csv
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Social_Network_Ads.csv
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