First Machine Learning Portfolio Project with different version

Modernize your Machine Learning Workflow with Low Code Tools & Quickly Integrate a Machine Learning Model in your Chatbot & Deploy to Whatsapp

End-to-end ML pipeline model and drift monitoring for Loan Eligibility classification.

Loan Prediction Analytics vidhya Hackathons. Predict Loan Eligibility for Dream Housing Finance company.Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. Used Machine Learning model to Achieve maximum Accuracy.

This project focuses on developing Machine Learning (ML) models to predict loan eligibility, which is vital in accelerating the decision-making process and determining if an applicant gets a loan or not.

machine learning project using logistic regresion and random forest with hyper tuned

This project aims to create a robust machine learning model that accurately predicts an applicant's eligibility for a loan based on various features such as income, credit history, and marital status.

Credit Approval using Xgboost and GridSearch CV

End-to-end ML pipeline model and drift monitoring for Loan Eligibility classification.

Minor Machine Learning project on Loan Prediction

It is a Machine Learning based project in which we aim to find out that whether a person is eligible for loan or not, based on different attributes.

Final Year major project

An automated system to analyze customer financial data and provide preliminary eligibility decisions for various banking products, including car loans, personal loans, premium credit cards, and lines of credit. The system will generate estimated decisions based on predefined criteria, such as income, credit history, and existing liabilities.