Data Science Hackathon
About:

By Dr Satish Patil, Arun Nair, Sudarshan Gadhave, Manjusha Joshi

Agenda
2:00 PM - Introduction to the Hackathon
2:35 PM - Challenge Overview & Structure of the Hackathon.
Dataset and problem statement will be given.
2:40 PM – Team formation
2:45 PM - Hacking Starts
4:45 PM - Hacking ends and discussion

Guidelines
 - Team size: Min 2 & Max 4
- All participants must bring their own laptop.
- Machine Learning Concepts are to be used.
- Participants should be familiar with Python or R programming.
- Participants should bring Laptop with Linux along with python, R installed.

Pre-requisites:
Enthusiasm and eager to explore data. Use to with Machine learning algorithms or curious about Machine learning algorithms, Use to with Data handling. Participants should aware of python or R programming. Participants should bring Laptop with Linux along with python, R installed.
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