├── Final project ├── .ipynb_checkpoints │ └── main-checkpoint.ipynb └── main.ipynb ├── INSTALLED_PACKAGES.ipynb ├── Programming assignment, week 1_ Pandas basics ├── .ipynb_checkpoints │ ├── Pandas Basics-solved-checkpoint.ipynb │ ├── PandasBasics-checkpoint.ipynb │ └── PandasBasics_solved-checkpoint.ipynb ├── PandasBasics.ipynb ├── __pycache__ │ └── grader.cpython-36.pyc └── grader.py ├── Programming assignment, week 2_ Data leakages ├── .ipynb_checkpoints │ ├── Data leakages-Copy1-checkpoint.ipynb │ ├── Data leakages-checkpoint.ipynb │ └── main-2-checkpoint.ipynb └── Data leakages.ipynb ├── Programming assignment, week 3_ Mean encodings ├── .ipynb_checkpoints │ └── Programming_assignment_week_3-checkpoint.ipynb ├── Programming_assignment_week_3.ipynb ├── grader.py └── grader.pyc ├── Programming assignment, week 4_ CatBoost ├── .ipynb_checkpoints │ └── catboost_notebook_v2-checkpoint.ipynb ├── __pycache__ │ └── grader_v2.cpython-36.pyc ├── catboost_notebook_v2.ipynb ├── grader.py └── grader_v2.py ├── Programming assignment, week 4_ Ensembles ├── .ipynb_checkpoints │ ├── Programming_assignment_week_4-checkpoint.ipynb │ └── Programming_assignment_week_4_solved-checkpoint.ipynb ├── Programming_assignment_week_4.ipynb └── grader.py ├── Programming assignment, week 4_ KNN features ├── .ipynb_checkpoints │ ├── compute_KNN_features-Copy1-checkpoint.ipynb │ ├── compute_KNN_features-checkpoint.ipynb │ ├── compute_KNN_features-try-Mikhail-checkpoint.ipynb │ └── get_KNN_feats-Copy1-checkpoint.ipynb ├── compute_KNN_features.ipynb └── grader.py ├── Quizzes ├── week 1 │ ├── Competition mechanics_practical_quize.pdf │ ├── Feature extraction from text and images_practical_quiz.pdf │ ├── Feature extraction from text and images_quiz.pdf │ ├── Feature preprocessing and generation with respect to models_practical_quiz.pdf │ ├── Feature preprocessing and generation with respect to models_quiz.pdf │ ├── Recap of main ML algorithms_practical_quiz.pdf │ ├── Recap of main ML algorithms_quiz.pdf │ ├── Software Hardware requirements_practical_quiz.pdf │ └── Software Hardware requirements_quiz.pdf ├── week 2 │ ├── Data leakages_quiz.pdf │ ├── Exploratory data analysis_quiz.pdf │ ├── Validation_practical_quiz.pdf │ └── Validation_quiz.pdf ├── week 3 │ ├── Mean encodings_quiz.pdf │ ├── Metrics optimization_practical_quiz.pdf │ └── Metrics optimization_quiz.pdf └── week 4 │ ├── Advanced features II_quiz.pdf │ ├── Ensembling_practical_quiz.pdf │ ├── Ensembling_quiz.pdf │ ├── Hyperparameter tuning_practical_quiz.pdf │ └── Hyperparameter tuning_quiz.pdf ├── README.md ├── Reading materials ├── .ipynb_checkpoints │ ├── EDA_Springleaf_screencast-checkpoint.ipynb │ ├── GBM_drop_tree-checkpoint.ipynb │ ├── Hyperparameters_tuning_video2_RF_n_estimators-checkpoint.ipynb │ ├── Macros-checkpoint.ipynb │ └── Metrics_video2_constants_for_MSE_and_MAE-checkpoint.ipynb ├── EDA_Springleaf_screencast.ipynb ├── EDA_video2.ipynb ├── EDA_video3_screencast.ipynb ├── GBM_drop_tree.ipynb ├── Hyperparameters_tuning_video2_RF_n_estimators.ipynb ├── Macros.ipynb ├── Metrics_video2_constants_for_MSE_and_MAE.ipynb ├── Metrics_video3_weighted_median.ipynb └── Metrics_video8_soft_kappa_xgboost.ipynb ├── Supplementary Notebooks ├── week 1 │ └── GBM_drop_tree.ipynb ├── week 2 │ ├── EDA_Springleaf_screencast.ipynb │ ├── EDA_video2.ipynb │ └── EDA_video3_screencast.ipynb ├── week 3 │ ├── Metrics_video2_constants_for_MSE_and_MAE.ipynb │ ├── Metrics_video3_weighted_median.ipynb │ └── Metrics_video8_soft_kappa_xgboost.ipynb └── week 4 │ └── Hyperparameters_tuning_video2_RF_n_estimators.ipynb └── readonly ├── KNN_features_data ├── X.npz ├── X_test.npz ├── Y.npy ├── Y_test.npy └── knn_feats_test_first50.npy ├── data_leakages_data └── test_pairs.csv ├── final_project_data ├── item_categories.csv ├── items.csv ├── sales_train.csv.gz ├── sample_submission.csv ├── shops.csv └── test.csv └── reading_materials ├── EDA_Springleaf_screencast.ipynb ├── EDA_video2.ipynb ├── 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