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.idea

.idea

 
 

.ipynb_checkpoints

.ipynb_checkpoints

 
 

data

data

 
 

final_project_ml

final_project_ml

 
 

.gitignore

.gitignore

 
 

AMLLS Project.pdf

AMLLS Project.pdf

 
 

AMLLS_Final_Project_Report_Yahel_Tal_Shiri_2024.pdf

AMLLS_Final_Project_Report_Yahel_Tal_Shiri_2024.pdf

 
 

CTGAN_1_new.csv

CTGAN_1_new.csv

 
 

CTGAN_2_new.csv

CTGAN_2_new.csv

 
 

CTGAN_3_new.csv

CTGAN_3_new.csv

 
 

CTGAN_4_new.csv

CTGAN_4_new.csv

 
 

CTGAN_5_new.csv

CTGAN_5_new.csv

 
 

Class_ML_Project.py

Class_ML_Project.py

 
 

Copula_1.csv

Copula_1.csv

 
 

Copula_2.csv

Copula_2.csv

 
 

Copula_3.csv

Copula_3.csv

 
 

Copula_4.csv

Copula_4.csv

 
 

Copula_5.csv

Copula_5.csv

 
 

Diabetic_readmission_essentials.py

Diabetic_readmission_essentials.py

 
 

EDA_Shiri.ipynb

EDA_Shiri.ipynb

 
 

EDA_numeric_portion.ipynb

EDA_numeric_portion.ipynb

 
 

EDA_yahel.ipynb

EDA_yahel.ipynb

 
 

Functions_ML_Project.py

Functions_ML_Project.py

 
 

Main_AMLLS_code.py

Main_AMLLS_code.py

 
 

Main_AMLLS_code_final.py

Main_AMLLS_code_final.py

 
 

README.md

README.md

 
 

after_pipeline_dataset.csv

after_pipeline_dataset.csv

 
 

catboost_hyperparmeter_tuning_cv.py

catboost_hyperparmeter_tuning_cv.py

 
 

default_models_CT_GAN_dataframe.csv

default_models_CT_GAN_dataframe.csv

 
 

default_models_original_dataframe.csv

default_models_original_dataframe.csv

 
 

default_models_smote_dataframe.csv

default_models_smote_dataframe.csv

 
 

id_fold.csv

id_fold.csv

 
 

pip_requirements_yahel.txt

pip_requirements_yahel.txt

 
 

requirements.txt

requirements.txt

 
 

train_fold_1.csv

train_fold_1.csv

 
 

train_fold_2.csv

train_fold_2.csv

 
 

train_fold_3.csv

train_fold_3.csv

 
 

train_fold_4.csv

train_fold_4.csv

 
 

train_fold_5.csv

train_fold_5.csv

 
 

validation_fold_1.csv

validation_fold_1.csv

 
 

validation_fold_2.csv

validation_fold_2.csv

 
 

validation_fold_3.csv

validation_fold_3.csv

 
 

validation_fold_4.csv

validation_fold_4.csv

 
 

validation_fold_5.csv

validation_fold_5.csv

 
 

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ML-project-diabetes-

our project for the ML course

About

Project for applied classical ML course at the Weizmann institute

Topics

random-forest scikit-learn ml datascience gan xgboost classification diabetes catboost lgbm imbalanced-classification smote-sampling ctgan imblearn-metrics

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