This is a private hackathon, whose primary purpose is for the members of the EXPLORE Data Science Academy to apply what they have learned. 

You may use additional datasets from those provided within this competition. These datasets must be collected from public sources or must be in the public domain. Your solution must use machine learning with an emphasis on regression algorithms and their related techniques.

Participation within this competition occurs on a group level for full-time students, and on an individual basis for part-time students.

Multiple accounts per user are not allowed. Collaboration across individuals in the same team is permitted for full-time students.  Collaboration between members of different teams is not permitted for full or part-time students. 

Code may not be shared in any public or private setting during or after the hackathon.

The solution must use publicly-available, open-source packages only. Maximum 20 solutions submitted per day. Your highest-scoring solution will be the one by which you are judged.

Refer to the FAQs and Terms of Use for additional rules that may apply to this competition.

We reserve the right to modify these rules at any time as necessary.
 - Don't cheat!
 - Apply yourself!
 - Have fun!