Credit Card Fraud Detection Using Machine Learning

[SayantikaLaskar]

Credit card fraud is a significant issue that affects both consumers and financial institutions. The objective of this project is to develop a robust machine learning model to detect fraudulent transactions accurately. The project involves several key tasks: sourcing and preprocessing a suitable dataset, performing exploratory data analysis to understand data patterns, selecting and engineering relevant features, and training multiple machine learning models to identify the best performer. The best model will then be implemented in a scalable and deployable solution, capable of handling real-time transaction data. Additionally, the model will be validated using a separate dataset or real-world data to ensure its robustness and reliability. Throughout the project, we will consider best practices for handling imbalanced datasets, explore machine learning algorithms known for high performance in fraud detection, and ensure the system's scalability and efficiency in production.

[SayantikaLaskar]

Please assign me this issue @Akshat111111

[Akshat111111]

Kindly make a new folder as - Financial Fraud Detection and inside that put your credit card fraud detection folder