Data analysis

• Document here the project: AMEX_default_prediction

• Description: the project is a graduation project of Le wagon data science program. It aims to use the history data of American express to predict who might default when any customers want to apply for a credit card in American express. You can predict whether a customer might default here.

• Data Source: American Express - Default Prediction

Please document the project the better you can.

Startup the project

The initial setup.

Create virtualenv and install the project:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv ~/venv ; source ~/venv/bin/activate ;\
    pip install pip -U; pip install -r requirements.txt

Unittest test:

make clean install test

Check for AMEX_default_prediction in github.com/{group}. If your project is not set please add it:

Create a new project on github.com/{group}/AMEX_default_prediction Then populate it:

##   e.g. if group is "{group}" and project_name is "AMEX_default_prediction"
git remote add origin git@github.com:{group}/AMEX_default_prediction.git
git push -u origin master
git push -u origin --tags

Functionnal test with a script:

cd
mkdir tmp
cd tmp
AMEX_default_prediction-run

Install

Go to https://github.com/{group}/AMEX_default_prediction to see the project, manage issues, setup you ssh public key, ...

Create a python3 virtualenv and activate it:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv -ppython3 ~/venv ; source ~/venv/bin/activate

Clone the project and install it:

git clone git@github.com:{group}/AMEX_default_prediction.git
cd AMEX_default_prediction
pip install -r requirements.txt
make clean install test                # install and test

Functionnal test with a script:

cd
mkdir tmp
cd tmp
AMEX_default_prediction-run