Loan-defaulter-prediction

Predictive analysis applications in the finance domain(for predicting loan defaults)

Dependencies--

• Machine Learning Model Preparation

  • Python 3
  • pandas
  • numpy
  • scipy
  • scikit-learn
  • matplotlib
  • seaborn
  • jupyter notebook
  • Numpy
  • Pandas
  • scikit learn

• Web application

  • Flask
  • Html
  • Css
  • JavaScript
  • Bootstrap

Prerequisites

To run locally, it is assumed that you have python installed on your system

Development Guide

• Create a virtual environment. virtualenv venv

  • Activate virtual environment via \venv\scripts\activate

• Install the requirements. pip install -r requirements.txt

• Get ready with all files like html,css,javascript

• Run the server python manage.py runserver

Result

The output of this model is a flask web-app which predict the " Wether to the Borrower gonna be a defaulter or not ".

Author

Vikram singh

• Twitter: https://twitter.com/vikramvinay1

• Linkdin: https://www.linkedin.com/in/vikram-singh-ai-venture/

• Facebook: https://www.facebook.com/AIVentureO/

• Youtub: https://www.youtube.com/channel/UCpAA7n7LcTmGBuNVpqOv-3w

• Quora: https://www.quora.com/profile/Vinay-Vikram-8

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