Giter VIP home page Giter VIP logo

loan-prediction's Introduction

Analytics Vidhya - Loan Prediction Challenge

GitHub Logo

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

loan-prediction's People

Contributors

d2anubis avatar

Watchers

 avatar

Forkers

piyushchavan88

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.