My solution of the IEEE CIS Fraud Detection competition of Kaggle.
To know more about the competition please follow the link: https://www.kaggle.com/c/ieee-fraud-detection
The data could be found from the following link : https://www.kaggle.com/c/ieee-fraud-detection/data
To run this notebook:
- Clone the repository.
- Install virtualenv.
- Navigate to the directory where you unzipped or cloned the repo and create a virtual environment with
virtualenv env
. - Activate the environment with
source env/bin/activate
- Install the required dependencies with
pip install -r requirements.txt
. - Execute
ipython notebook
from the command line or terminal. - When you're done deactivate the virtual environment with
deactivate
.
I have been using colab for this project.
The goal for the competition is to predict the probability of a given transaction being fraudelent.