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Machine Learning Model to automate the loan eligibility

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machine-learning random-forest logistic-regression seaborn-plots classification analytics-vidhya-competition confusion-matrix kfold-cross-validation

loan-prediction's Introduction

Analytics Vidhya - Loan Prediction Challenge

This repository contains the solution to the Analytics Vidya Loan Prediction problem along with the datasets.
In this machine learning project the main goal is to automate the loan eligibility process based on customer detail provided.
The cateogy of variables used in the models are:

Application details
Credit history

Some variables like age and gender are not used by credit card companies for loan solicitation. However the analysis showed great trends with these variables so they were leveraged in the final models.

Two different approaches have been implemented here:

Logistic regression
Random forest

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