Data analysis

• Document here the project: Home-Credit-Prediction
• Description: Project Description
• Data Source:
• Type of analysis:

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 Home-Credit-Prediction in gitlab.com/{group}. If your project is not set please add it:

• Create a new project on gitlab.com/{group}/Home-Credit-Prediction
• Then populate it:

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

Functionnal test with a script:

cd
mkdir tmp
cd tmp
Home-Credit-Prediction-run

Install

Go to https://github.com/{group}/Home-Credit-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}/Home-Credit-Prediction.git
cd Home-Credit-Prediction
pip install -r requirements.txt
make clean install test                # install and test

Functionnal test with a script:

cd
mkdir tmp
cd tmp
Home-Credit-Prediction-run

Heroku

https://homecreditkenzael.herokuapp.com/make_preds?CODE_GENDER=F&FLAG_OWN_CAR=N&OCCUPATION_TYPE=Laborers&NAME_INCOME_TYPE=Working&NAME_TYPE_SUITE=Family&EXT_SOURCE_3=0.5&DAYS_EMPLOYED=100&FLOORSMAX_AVG=0.3&DAYS_BIRTH=5000&REGION_RATING_CLIENT_W_CITY=2