This repository contains the code and data used for the Credit Risk Analysis project. The goal of this project is to develop a model to predict the likelihood of a loan applicant defaulting on a loan based on various financial and demographic factors.
The dataset used in this project contains information on loan applicants, including their financial status, employment history, and demographic details. The dataset has been preprocessed to handle missing values and encode categorical variables. this dataset has been take from kaggle, [note as the dataset is very large we only consider a small part of the data to train models] dataset by RAMESH MEHTA,you can download the dataset from https://www.kaggle.com/datasets/rameshmehta/credit-risk-analysis