├── Rank_1_Sourabh_Jha ├── Codes │ ├── amexpert.py │ └── remove_vars_best.json ├── readme.txt └── requirements.txt ├── Rank_2_Mohsin_Khan ├── Model_v10.ipynb ├── Model_v11.ipynb ├── Model_v12.ipynb ├── Model_v13.ipynb ├── Model_v14.ipynb ├── Model_v15.ipynb ├── Model_v8.ipynb ├── Model_v9.ipynb ├── NN_model.ipynb ├── README.md ├── amlib │ ├── generate_features.py │ ├── generate_features_v2.py │ ├── generate_features_v3.py │ ├── nmf_item_coupon.py │ ├── optimize_hyperparameters.py │ ├── prepare_artifacts.py │ ├── prepare_nn_data.py │ ├── prepare_train_test_data.py │ └── prepare_transaction_data.py ├── mllib │ ├── artifacts.py │ ├── model_definition.py │ ├── model_runner.py │ ├── params.py │ ├── prepare_data.py │ ├── targetencoder.py │ ├── transformers.py │ └── utils.py └── reproduce_stuff.sh ├── Rank_3_Sahil_Verma ├── __pycache__ │ ├── custom_estimator.cpython-37.pyc │ ├── custom_fold_generator.cpython-37.pyc │ └── encoding.cpython-37.pyc ├── coupon_item_mapping.csv ├── custom_estimator.py ├── custom_fold_generator.py ├── customer_demographics.csv ├── encoding.py ├── feature_creation_code │ ├── data_prep_v2.ipynb │ ├── fc_ideas.ipynb │ ├── feats_user_coup_item.ipynb │ └── feats_user_coup_item_brand_feats.ipynb ├── item_data.csv ├── modelling │ ├── ensembling.ipynb │ ├── modelling_adding_camp_cust_more_feats-CATBOOST.ipynb │ ├── modelling_adding_camp_cust_more_feats-xgb.ipynb │ ├── modelling_adding_camp_cust_more_feats.ipynb │ ├── modelling_adding_camp_cust_more_feats_group_k_camp_CATBOOST.ipynb │ ├── modelling_adding_camp_cust_more_feats_group_k_camp_v2-CATBOOST.ipynb │ ├── modelling_adding_camp_cust_more_feats_group_k_camp_xgb_lgb.ipynb │ ├── modelling_adding_camp_cust_more_feats_group_k_camp_xgb_lgb_v2.ipynb │ ├── modelling_adding_camp_cust_more_feats_v2-CATBOOST.ipynb │ ├── modelling_adding_camp_cust_more_feats_v2.ipynb │ └── modelling_adding_camp_cust_more_feats_v2_xgb.ipynb ├── readme.txt ├── requirements.txt ├── sample_submission_Byiv0dS.csv ├── test_QyjYwdj.csv └── train.csv ├── Rank_4_Pradeep_Pathak ├── amex_2019_approach (1).pdf ├── ensembling.ipynb ├── final_variable_creation.ipynb ├── ml_modules │ ├── custom_estimator.py │ ├── custom_fold_generator.py │ └── encoding.py ├── model-catb.ipynb ├── model-lgb-xgb.ipynb ├── readme.md └── requirements.txt └── Rank_5_Mudit_Tiwari ├── 0-CGB-0 # CGB_Feat5_All_Possible_Features_5_Fold.ipynb ├── 0-CGB-1 # CGB_Feat5_Extra_Past_Item_5_Fold - ~94.ipynb ├── 0-LGB-0 # Feat1_LGBM_Gruped_Cats_FE.ipynb ├── 0-LGB-1 # Feat_5_LGB_Coup_Removed.ipynb ├── 0-LGB-2 # Feat_5_LGB_ItemPastRemoved.ipynb ├── 0-XGB-0 # XGB_0.02_0.8_17_Feat_5_not_all_one_hot_Coup_Removed - 94.46.ipynb ├── 1-LOG-0 # Stacker logit.ipynb ├── 1-NN-0 # Stacker NN.ipynb ├── AMEX_APPROACH_MUDIT.pdf ├── Feature Engineering 1.ipynb ├── Feature Engineering 2.ipynb ├── Feature Engineering 3.ipynb ├── Feature Engineering 4.ipynb ├── Feature Engineering 5.ipynb ├── __pycache__ ├── custom_fold_generator.cpython-37.pyc └── 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