Datascience bowl 2018
Personal solution for datascience bowl 2018 - kaggle.
Reference link: https://www.kaggle.com/c/data-science-bowl-2018/
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Prerequisites
To run the project you need to install jupyter notebook:
Once jupyter notebook is installed, you need to install the following dependencies on it:
- Keras
Run the code
Create a data-raw folder on root and copy all the data from competition
python get_started.py- It supports python 2 and 3
After this, my_test folder will be created. Feel free to make any changes here.
Contributing
To contribute with a new function, make a pull request on master branch. It will be appreciated if you upload a demo of usage too.
To contribute with a new model, add it in a new notebook on the models folder.
You can follow base_model.ipynb as an example.
Also, you MUST leave a save state of the model on states folder.
License
This project is licensed under the MIT License - see the LICENSE.md file for details