malhotramoulie
commented
2 days ago Hi I would like to work on this Can u pls assign me this task
Open vishuhere opened 3 days ago
malhotramoulie
commented
2 days ago Hi I would like to work on this Can u pls assign me this task
Is there an existing issue for this?
Feature Description
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.
Use Case
It will involve real-time analysis to identify suspicious transactions, anomaly detection to find unusual spending patterns, customer behavior analysis to flag deviations, risk scoring for transaction risk assessment, and prevention of fraudulent activities through predictive models. These systems enhance security, reduce financial losses, and improve customer trust.
Benefits
No response
Add ScreenShots
No response
Priority
High
Record