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DataTransform_Training
DataTransform_Training
 
 
DataTransformation_Prediction
DataTransformation_Prediction
 
 
DataTypeValidation_Insertion_Prediction
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DataTypeValidation_Insertion_Training
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EDA
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PredictionArchivedBadData
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Prediction_Batch_files
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Prediction_Database
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Prediction_FileFromDB
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Prediction_Logs
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Prediction_Raw_Data_Validation
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Prediction_Raw_Files_Validated
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TrainingArchiveBadData
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Training_Batch_Files
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Training_Database
Training_Database
 
 
Training_FileFromDB
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Training_Logs
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Training_Raw_data_validation
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__pycache__
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application_logging
application_logging
 
 
best_model_finder
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data
data
 
 
data_ingestion
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data_preprocessing
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documentation
documentation
 
 
file_operations
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models
models
 
 
preprocessing_data
preprocessing_data
 
 
templates
templates
 
 
Procfile
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README.md
README.md
 
 
default of credit card clients.xls
default of credit card clients.xls
 
 
main.py
main.py
 
 
predictFromModel.py
predictFromModel.py
 
 
prediction_Validation_Insertion.py
prediction_Validation_Insertion.py
 
 
requirements.txt
requirements.txt
 
 
schema_prediction.json
schema_prediction.json
 
 
schema_training.json
schema_training.json
 
 
test.py
test.py
 
 
trainingModel.py
trainingModel.py
 
 
training_Validation_Insertion.py
training_Validation_Insertion.py
 
 

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Card-Fraud-Detection

  • Problem Statement

  • To build a classification methodology to determine whether a person defaults(whether he / she would be able to pay the debt on time or not) the credit card payment for the next month.

  • Run the requirements.txt file

  • pip install -r requirements.txt

  • Read the documentation folder -creditCardDefaulters.docx

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