💳 Credit Card Fraud Detection
Detect fraudulent credit card transactions using Machine Learning. This project uses a Random Forest Classifier to identify suspicious transactions from historical data.
⚡ Features
Detects fraud in real-time transaction data Handles imbalanced datasets with class weighting Visualizes results with confusion matrix and feature importance Supports CSV and Excel (.xlsx) files
🛠️ Technologies Language: Python Environment: Google Colab / Jupyter Notebook Libraries: pandas, numpy, scikit-learn, matplotlib, seaborn
🚀 How to Run
Clone the repository:
git clone https://github.com/shivatare17032006/Credit-Card-Fraud-Detection-Using-Random-Forest-Classifier
.git
Open in Google Colab or Jupyter Notebook
Upload your dataset (.csv or .xlsx) when prompted
Run all cells to train the model and see evaluation results
