GitHub - alessandromonolo/Fraud-Detection-Binary-Classification-Model: This project builds a machine learning model to classify fraudulent clients using a banking dataset. Data preprocessing, statistical analysis, and feature selection were performed before training KNN and Random Forest Classifier. Model performance was evaluated using accuracy, precision, recall, and F1-score.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Fraud_Detection_Binary_Classification_Model.ipynb		Fraud_Detection_Binary_Classification_Model.ipynb

About

This project builds a machine learning model to classify fraudulent clients using a banking dataset. Data preprocessing, statistical analysis, and feature selection were performed before training KNN and Random Forest Classifier. Model performance was evaluated using accuracy, precision, recall, and F1-score.

python machine-learning random-forest scikit-learn pandas statistical-analysis fraud-detection knn-classification classification-model