Machine Learning Internship Internship (JobId 7372)
This project aims to build a machine learning model for detecting fraudulent transactions in financial systems. It involves collecting transaction data, preprocessing it, training a fraud detection model, and deploying it for real-time monitoring.
Theme : Development
Category : Domains
Total Openings : 1000
Estimated Time : 2 months
Technology Requirements
Python or R for data manipulation and model development.
Description
Data Collection: Gather historical transaction data, ensuring privacy and regulatory compliance.
Data Preprocessing: Clean, normalize, and handle class imbalance in the data.
Model Development: Select an appropriate machine learning algorithm, split data, and train the model, optimizing hyperparameters.
Model Evaluation: Assess model performance using accuracy, precision, recall, and cross-validation techniques.
Deployment and Integration: Deploy the model in a real-time environment, integrate it into transaction processing systems, and implement real-time monitoring and alerts for fraud detection.
Start Date
2023-10-01
End Date
2023-12-01
Stipend
Offer letter, Certificate, LOR
Internship Type
Paid