Files

1.02.Multiple_linear_regression.csv
Admittance.csv
Admittance_regression.ipynb
Admittance_regression.pdf
Bank_data.csv
Bank_data_testing.csv
Binary_Predictors_Regression+Testing.ipynb
Binary_Predictors_Regression+Testing.pdf
Binary_predictors.csv
Dummies.csv
Dummy_variables_with_comments.ipynb
Dummy_variables_with_comments.pdf
Example_bank_data.csv
Logistic_Regression.ipynb
Logistic_Regression.pdf
Logistic_regression1.ipynb
Logistic_regression1.pdf
MLRegression+Dummies.ipynb
MLRegression+Dummies.pdf
Making_predictions_dummies.ipynb
Making_predictions_dummies.pdf
Multiple_Linear_Regression.ipynb
Multiple_Linear_Regression.pdf
Multiple_linear_regression.csv
Multiple_linear_regression_and_Adjusted_R-squared_with_comments.ipynb
Multiple_linear_regression_and_Adjusted_R-squared_with_comments.pdf
README.md
SKLEAR_1.IPY
Simple_Linear_Regression_Exercise.ipynb
Simple_Linear_Regression_Exercise.pdf
Simple_linear_regression.ipynb
Simple_linear_regression.pdf
Test_dataset.csv
bank_regression+testing.ipynb
bank_regression+testing.pdf
cars.csv
real_estate_price_size.csv
real_estate_price_size_year.csv
real_estate_price_size_year_view.csv
sklearn-LinearRegression.ipynb
sklearn-LinearRegression.pdf
sklearn_Feature_Scaling_2.ipynb
sklearn_Feature_Scaling_2.pdf
sklearn_Feature_Selection.ipynb
sklearn_Feature_Selection.pdf
sklearn_Linear_Regression_cars.ipynb
sklearn_Linear_Regression_cars.pdf
sklearn_MLR.ipynb
sklearn_MLR.pdf
sklearn_MLR_2.ipynb
sklearn_MLR_2.pdf
sklearn_Predictions_StandardizedCoefficients.ipynb
sklearn_Predictions_StandardizedCoefficients.pdf
sklearn_Train_Test_Split.ipynb
sklearn_Train_Test_Split.pdf

Test_dataset.csv

1	SAT	Admitted	Gender
2	1323	No	Male
3	1725	Yes	Female
4	1762	Yes	Female
5	1777	Yes	Male
6	1665	No	Male
7	1556	Yes	Female
8	1731	Yes	Female
9	1809	Yes	Female
10	1930	Yes	Female
11	1708	Yes	Male
12	1970	Yes	Female
13	2039	Yes	Female
14	1681	Yes	Female
15	1444	No	Male
16	1726	No	Male
17	1876	Yes	Female
18	1485	No	Male
19	1500	No	Female
20	1900	Yes	Male