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.

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.

Gestor de Biblioteca hecho en Python como Trabajo Práctico Final del Curso de Python Intermedio.

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

Helps with understanding and managing loans/mortgages

This Loan Calculator is a simple Python-based application that allows users to calculate the monthly payment, total payment, and total interest paid for a loan.

Our Python and Tkinter-based Loan Eligibility Checking project offers a seamless solution for individuals looking to determine their loan eligibility and even apply for it. With a user-friendly interface, users can input their financial information, and the system provides an instant assessment of their eligibility for loans.

Paket mit Funktionen zur Berechnung eines Darlehens

This is a project to create mortgage calculator

A program to allow the user to access two different financial calculators: an investment calculator and a home loan repayment calculator.

SDFR i.e. Self Drive Financial Resources is handy tool how to keep your free money in touch with passive income.

Classification of home loans using Logistic Regression, Decision Tree and Random Forest algorithms.

Decision Tree for Predicting Clients who Default on their Loans

Personal Loan calculation example

This program is a financial calculator that allows the user to choose either investment or bond (loan) and subsequently calculate the interest accrued on an investment over x amount of years or the monthly repayments on a home loan over x amount of months.

This project aims to develop an AI/ML model to predict loan repayment failure using a historical dataset of borrowers, their features, and loan characteristics. The problem is significant as it can help financial institutions identify potential defaulters and take preventive measures to minimize losses.

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Calculate loan amortization from the terminal, yields results as Html file with JS charts

Calculates annuity and differential payments.

This project aims to predict credit risk for individuals applying for loans, classifying whether they will default based on features such as age, income, employment length, loan amount, interest rate, percentage of income, credit length, home ownership, and loan intent.