FIRAS TLILI
Loan-Approval-Prediction-Using-Machine-Learning
This project aims to predict loan approval using machine learning algorithms. The dataset used for this project contains various attributes of loan applicants, such as gender, marital status, income, education, credit history, etc. The goal is to build a predictive model that can accurately classify loan applications as approved or not approved based on these attributes.
Dependencies
Python 3.x
Jupyter Notebook
Libraries:
Installation
Clone this repository: git clone https://github.com/TLILIFIRAS/Loan-Approval-Prediction-Using-Machine-Learning.git