Web App and Random Forest - Loan Approval Prediction
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Updated
Oct 19, 2022 - Jupyter Notebook
Web App and Random Forest - Loan Approval Prediction
When it comes to deciding whether the applicant’s profile is relevant to be granted with loan or not,banks have to look after many aspects. Predicting loan approval is a common application of machine learning in the financial industry.
A sophisticated, modular machine learning framework for automating loan approval processes, integrating Docker, Jenkins CI/CD, AWS-EC2, and FastAPI for robust, scalable financial decision-making.
Welcome to the Loan Approval Prediction project repository! This project focuses on predicting the approval of loan applications using various machine learning algorithms. By analysing applicant details and financial information, the model aims to assist financial institutions in making data-driven and reliable loan approval decisions.
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