GitHub - rviccinig/Credit_Card_Fraud: Ready to use Python Module for Credit Card Fraud prediction. Dataset is from Kaggle, https://www.kaggle.com/mlg-ulb/creditcardfraud

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Ready to use Python Module for Credit Card Fraud prediction. Dataset is from Kaggle, https://www.kaggle.com/mlg-ulb/creditcardfraud

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Config.py		Config.py
Model_Estimation.py		Model_Estimation.py
Pipeline.py		Pipeline.py
Preprocessing.py		Preprocessing.py
README.txt		README.txt
credit_card.zip		credit_card.zip
neural_network.h5		neural_network.h5
neural_network.json		neural_network.json
requirements.txt		requirements.txt

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Credit Card Fraud Detection

Purpose: This project goes through a dataset of credit card
transactions and clasifies which transactions are Frauds.

Dataset: Dataset is hosted by https://www.kaggle.com/mlg-ulb/creditcardfraud

Characteristics: I produced requerements.txt file using conda list --export > package-list.txt

Note: To install an anaconda enviroment with all this packages
conda create -n myenv --file Requerements.txt

Note 2: Variables
        'Class': 1 for Fraud and 'Class': 0  for no Fraud
        'Amount': Amount in Dollars of the Theft
        'V1-V30':  Scaled Varibles with PCA