Vue Loan Calculator (Day 6 of My Vue Basic Challenge)

Villagr is an online directory of local small businesses and service providers. Unlike existing products, Villagr prioritizes listing by their injury and level of need, rather than rating or popularity.

Automate the loan eligibility process by understanding the relation between the collected information and the chance of paying back the loan. More specifically, fitting a machine learning model for which given information about the application the model predicts whether the corresponding applicant will pay the loan or not.

Loan analysis is an evaluation method that determines if loans are made on feasible terms and if potential borrowers can and are willing to pay back the loan. It checks the eligibility of the potential borrower against the criteria set forth for lending.Loan analysis is an evaluation method that determines if loans are made on feasible terms and…

This is a jupyter notebook to extract historical interest rates of each commercial banks in Thailand since 31JAN1996 (31 ม.ค. 2539)

test

This program is mainly used to figure out loan schedules for clients and can be used both by clients and loan providers to both show and save a document that has the loan schedule on it.

A predictive system for automating the loan approval process.

ios

Калькулятор доходности по займу

A bank application demo that enables users to create an account, deposit, withdraw, transfer, check balance, and apply for a loan.

ML model to predict loan eligibility for the customers. Since its classification problem, used Logistic regression, KNN, Decision Tree and Random Forest. Deployment has been done using flask.

A tool which allows users to find the optimum distribution of payments across multiple loans and investments to maximize overall net worth.

Aspire Loan API using Laravel

Finance utility library for Node.js

Loan Manager with strong security and, user loan payment and bounce statement in admin panel .. My biggest or hardest project in my coding journey

This project aims to leverage a diverse dataset encompassing economic indicators, demographic factors, and credit history to establish a predictive model. By establishing appropriate loan limits, financial institutions can enhance risk management, ensure responsible lending, and promote financial inclusivity.

Welcome to the Bank Loan Case Study project! In this analysis, I dive into the loan application data of a finance company specializing in lending various types of loans to urban customers.

A python script that analyzes applicant information and predicts whether or not they will get approved for a loan.