Author(s) :

Yash Deepak Majithia.

Volume/Issue :

Abstract :

This research paper addresses the prediction of loan eligibility for candidates based on various aspects of both the loan and the applicant The general belief is that a candidate’s income and credit history are the primary determining factors; However, additional variables may also play a role, and identifying these factors is the focus of this study. To achieve this, I applied various data science techniques, including machine learning, one-hot encoding and ordinal encoding, and utilized predictive models such as linear regression, random forest, and XGBoost. Additionally, I employed various means to optimize and fine-tune the data set during the exploratory data analysis portion of the paper to make it acceptable to be further analyzed.