jalajthanaki / Credit Risk Modelling
Credit Risk analysis by using Python and ML
Stars: ✭ 91
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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.
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
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