https://github.com/jalajthanaki/credit-risk-modelling

Credit Risk analysis by using Python and ML
https://github.com/jalajthanaki/credit-risk-modelling

credit-risk machine-learning numpy pandas python scikit-learn scipy

Last synced: 16 days ago
JSON representation

Credit Risk analysis by using Python and ML

• Host: GitHub
• URL: https://github.com/jalajthanaki/credit-risk-modelling
• Owner: jalajthanaki
• Created: 2017-11-17T13:00:11.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2017-11-20T05:31:32.000Z (about 7 years ago)
• Last Synced: 2025-01-02T12:32:18.597Z (20 days ago)
• Topics: credit-risk, machine-learning, numpy, pandas, python, scikit-learn, scipy
• Language: Jupyter Notebook
• Size: 7.57 MB
• Stars: 150
• Watchers: 18
• Forks: 116
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Credit Risk Modelling

We are building ML model which can help us in order get an idea, whether a person will be doing any default activity for his loan in next 2 year.

## Dependency Libraries

* Python 2.7

* pandas

* numpy

* scipy

* scikit-learn

* matplotlib

* seaborn

* jupyter notebook

## Installation Commands

I'm working on Linux OS (Ubuntu 16.04 LTS) so command for installating all dependancies are given below.

```bash

Pandas:           $ sudo pip install pandas

numpy:            $ sudo pip install numpy

scipy:            $ sudo pip install scipy

scikit-learn:     $ sudo pip install -U scikit-learn

matplotlib: 

                  $ sudo apt-get install libfreetype6-dev libpng-dev

                  $ sudo pip install matplotlib 

seaborn:          $ sudo pip install seaborn

jupyter notebook: $ sudo apt-get -y install ipython ipython-notebook

                  $ sudo -H pip install jupyter

```