This project will predict redemption_status of a customer using a dataset.
Table of Contents
- About the Project
- Built With
- Getting Started
About the project
This Project contains the solutions of the AmExpert2019 Hackathon conducted by the Analytics Vidhya.
This is an example of how you may give instructions on setting up your project locally.
To get a local copy up and running follow these simple example steps.
This is an example of how to list things you need to use the software and how to install them.
- Libraries like Tensorflow, Keras, Pandas, Numpy..
pip install -r requirements.txt
- Clone the repo
git clone https://github.com/Shubham2004-AI/amexpert2019.git
- Run the
full_pipeline.ipynbfile to train the model and make predictions.
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature)
- Commit your Changes (
git commit -m 'Add some AmazingFeature')
- Push to the Branch (
git push origin feature/AmazingFeature)
- Open a Pull Request
Distributed under the NU General Public v3.0 License. See
LICENSE for more information.
Shubham Gupta - email@example.com