- TypeWorkshop
- Location Pune, Maharashtra, India
- Date 25-01-2020
Education/Teaching/Training/Development
Objective:
The Global Stanford, WiDS Datathon 2020 focuses on patient health through data from MIT's GOSSIS (Global Open Source Severity of Illness Score) initiative. The Datathon workshop aims to help data science enthusiast upskill themselves technically, explore Kaggle platform to form teams and successfully attempt a global datathon challenge & explore wids datathon dataset. A line up of industry experienced speakers and past Datathon winners will give a demo and walkthrough of Kaggle platform and share best practices in attempting such datathon challenges. Even if you dont want to participate in the hackathon, you can still join us to know how to approach a data science problem given a dataset
Agenda
â Introduction and walkthrough of Kaggle platform
â Why participate in Datathon and how to approach a Datathon
â Sharing best practices for Datathon challenges with examples of successful Datathon challenges
â Mentoring sessions (breakout)
â Understanding the problem statement, what is the expected output, deliverable
â WiDS2020 Datathon data exploration/understanding the data and relations
â What kind of problem is this? Regression/Clustering/Anomaly/deep learning etc.
â What could be different implementations?
Please note: Laptops and mobiles are not allowed insider the office and will have to be deposited at the desk