Name		Name	Last commit message	Last commit date
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LightGBM_model.pkl		LightGBM_model.pkl
README.md		README.md
credit_dataset.csv		credit_dataset.csv
practice.py		practice.py
requirements.txt		requirements.txt
utils2.py		utils2.py

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Fraud-Detection

Aim: Detects or Predicts whether a customer is Genuine or Fraud based on his details.

Input: Details of the customer such as Education, Income, Age, etc.

Output: Prediction of Genuine or Fraud and also gives other insights in the form of Data Visualisation

Link: https://share.streamlit.io/richa2801/fraud-detection/main/practice.py

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Python 100.0%