Shubhamai/amexpert2019

The solution for an AmExpert2019 hackathon with full EDA and Model Training.

AmExpert2019 Hackathon

This project will predict redemption_status of a customer using a dataset.

Table of Contents

• About the Project
  • Built With
• Getting Started
  • Prerequisites
  • Installation
• Roadmap
• Contributing
• License
• Contact

About the project

This Project contains the solutions of the AmExpert2019 Hackathon conducted by the Analytics Vidhya.

Built With

• Tensorflow
• Keras

Getting Started

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.

Prerequisites

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

Installation

1. Clone the repo ``git clone https://github.com/Shubham2004-AI/amexpert2019.git```

2. Run the full_pipeline.ipynb file to train the model and make predictions.

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

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.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the NU General Public v3.0 License. See LICENSE for more information.

Contact

Shubham Gupta - shubham.aiengineer@gmail.com