ISLR-with-Python
Introduction to Statistical Learning with R을 Python으로
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Download Latest Version (.zip)- 01.Intro_AI_ML_DS.pdf
- Ch.10_PCA.pdf
- Ch10-Unsupervised_Learnings.ipynb
- ISLR_Ch10_Unsupervised_Learning_by_authors.pdf
- Ch.2 Machine Learning.pdf
- Ch2 Supervisedl_learning_init.pdf
- Ch.3 Linear Regression 강의 슬라이드.pdf
- Ch3_Linear_Regression.ipynb
- Ch3_Linear_Regression.py
- hblee.py
- Ch4_KNN_Reg_Clf_n_Evaluation.ipynb
- Ch4_Logistic_Regression.ipynb
- KNN-Regression_Classifcation_Evaluation.pdf
- Logistic_Regression.pdf
- Ch5_Resampling_Methods.ipynb
- Model_Eval_Selection.pdf
- Ch.8 Tree based methods.pdf
- Ch8_Tree_based_Methods.ipynb
- CH9 SVM.pdf
- Ch9-Support_Vector_Machines.ipynb
- Advertising.csv
- Auto.csv
- Auto.data
- Boston.csv
- Caravan.csv
- Carseats.csv
- Ch10Ex11.csv
- College.csv
- Credit.csv
- Default.xlsx
- Heart.csv
- Hitters.csv
- Hitters_X_test.csv
- Hitters_X_train.csv
- Hitters_y_test.csv
- Hitters_y_train.csv
- Income1.csv
- Income2.csv
- Khan_xtest.csv
- Khan_xtrain.csv
- Khan_ytest.csv
- Khan_ytrain.csv
- NCI60_data.csv
- NCI60_labs.csv
- Smarket.csv
- USArrests.csv
- Wage.csv
- Confusion_Matrix_Explained.PNG
- logistic_regression.PNG
- preProcessing-categoric_polynomial_interaction_term_4_scikit_OLS-checkpoint.ipynb
- preProcessing-categoric_polynomial_interaction_term_4_scikit_OLS.ipynb
- README.md
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