First Machine Learning Portfolio Project with different version
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Updated
Dec 10, 2023 - Jupyter Notebook
First Machine Learning Portfolio Project with different version
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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.
End-to-end ML pipeline model and drift monitoring for Loan Eligibility classification.
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.
𝐋𝐨𝐚𝐧 𝐄𝐥𝐢𝐠𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧
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.
machine learning project using logistic regresion and random forest with hyper tuned
End-to-end ML pipeline model and drift monitoring for Loan Eligibility classification.
Credit Approval using Xgboost and GridSearch CV
This project is an interactive Streamlit application that predicts customer loan approval using a Random Forest Classifier. It features dataset upload, automated preprocessing, label & one-hot encoding, SMOTE oversampling, exploratory data analysis (EDA), performance metrics, confusion matrix visualization, and ranked prediction results.
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.
Modern Loan Eligibility Prediction web app built with Lovable AI and customized with enhanced UI and features.
Loan requirements, eligibility framing, documents, and pre-application preparation from Loans Plainly.
Final Year major project
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.
Add a description, image, and links to the loan-eligibility topic page so that developers can more easily learn about it.
To associate your repository with the loan-eligibility topic, visit your repo's landing page and select "manage topics."