Project Information

See our github page for more information.

Steps to follow to run the code

1. Create an account on Kaggle
2. Join the competition
3. Once you have accepted the terms and conditions of the competition you will be granted access to the dataset
4. Create a new "kernel" or fork our public kernel. For general help with Kaggle see this site
5. If you choose to start new you can download our latest kernel from the github source directory then upload it into your newly created kernel

Dependencies

All libraries needed for this project are already setup within a Kaggle Kernel. To provide credit and if you would like to use this code for another dataset they are listed below.

Written for Python 3.5+

• Numpy
• Matplotlib
• Scikit Learn
• Pandas

Still Have Questions?

Feel free to comment and ask questions on our public kernel to get in contact with us.