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10k_Churn.csv
10k_Churn.csv
 
 
Ensemble_Model.csv
Ensemble_Model.csv
 
 
Extended_train_uncleaned.csv
Extended_train_uncleaned.csv
 
 
Gradient Boosting Trees.py
Gradient Boosting Trees.py
 
 
IncreaseTrainSet.py
IncreaseTrainSet.py
 
 
Logistic_Regression_Model.py
Logistic_Regression_Model.py
 
 
NN_2H_Adam_CyclingLR_Model.csv
NN_2H_Adam_CyclingLR_Model.csv
 
 
NN_3B_Adam_CyclingLR_Model_probs.csv
NN_3B_Adam_CyclingLR_Model_probs.csv
 
 
NN_5B_2C_Adam_CyclingLR_Model_probs.csv
NN_5B_2C_Adam_CyclingLR_Model_probs.csv
 
 
NN_5B_2C_BatchNorm_Adam_CyclingLR_Model_probs.csv
NN_5B_2C_BatchNorm_Adam_CyclingLR_Model_probs.csv
 
 
NN_5B_AdamW_CyclingLR_ConvNormDrops(0.5)_1500e_weight_decay_probs.csv
NN_5B_AdamW_CyclingLR_ConvNormDrops(0.5)_1500e_weight_decay_probs.csv
 
 
NN_5B_Adam_CyclingLR_ConvNoNormDrops_Surnames_Excluded_probs.csv
NN_5B_Adam_CyclingLR_ConvNoNormDrops_Surnames_Excluded_probs.csv
 
 
NN_5B_Adam_CyclingLR_ConvNoNormDrops_realdata_probs.csv
NN_5B_Adam_CyclingLR_ConvNoNormDrops_realdata_probs.csv
 
 
NN_5B_Adam_CyclingLR_ConvNormDrops(0.1)_Added_probs.csv
NN_5B_Adam_CyclingLR_ConvNormDrops(0.1)_Added_probs.csv
 
 
NN_5B_Adam_CyclingLR_ConvNormDrops_Added_probs.csv
NN_5B_Adam_CyclingLR_ConvNormDrops_Added_probs.csv
 
 
NN_RF_Ensemble_probs.csv
NN_RF_Ensemble_probs.csv
 
 
NN_RF_Ensemble_probs_0.5.csv
NN_RF_Ensemble_probs_0.5.csv
 
 
NN_RF_Ensemble_probs_0.7.csv
NN_RF_Ensemble_probs_0.7.csv
 
 
NN_RF_XGB_Ensemble_probs.csv
NN_RF_XGB_Ensemble_probs.csv
 
 
Naive_Bayes_Model.csv
Naive_Bayes_Model.csv
 
 
Naive_Bayes_Model.py
Naive_Bayes_Model.py
 
 
Neural_Network.py
Neural_Network.py
 
 
Preprocessing.py
Preprocessing.py
 
 
README.md
README.md
 
 
RF_NB_LR_Ensemble_Probs.csv
RF_NB_LR_Ensemble_Probs.csv
 
 
RandomForestModel.py
RandomForestModel.py
 
 
RandomForest_Probs_Model.csv
RandomForest_Probs_Model.csv
 
 
Random_Forest_Model.csv
Random_Forest_Model.csv
 
 
Simple_NN_Adam_CyclingLR_Model_probs.csv
Simple_NN_Adam_CyclingLR_Model_probs.csv
 
 
TwoLayer_NCN_Model.csv
TwoLayer_NCN_Model.csv
 
 
TwoLayer_NN_Model.csv
TwoLayer_NN_Model.csv
 
 
real_data_cleaned.csv
real_data_cleaned.csv
 
 
test.csv
test.csv
 
 
test_cleaned.csv
test_cleaned.csv
 
 
train.csv
train.csv
 
 
train_cleaned.csv
train_cleaned.csv
 
 

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Bank Churn Binary Classification

Repository for Kaggle Playground Competition.

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Repository for Kaggle Playground Competition Season 4 Episode 1

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