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2.0 1.0 0.0 9.64 MB

Can we predict how capable each applicant is of repaying a loan?

Python 0.54% Makefile 0.02% Jupyter Notebook 99.43% Dockerfile 0.01% Shell 0.01%
python api predictions sklearn-library visualization correlation heroku-deployment dockerfile fastapi data-science machine-learning encoding classifier-model

home-credit-prediction's Introduction

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 [email protected]:{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 [email protected]:{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

home-credit-prediction's People

Contributors

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Stargazers

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Watchers

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