WiDS Datathon Resources
Tutorials, sample code, and other resources will be posted here throughout the competition
Getting Started with Kaggle - WiDS 2021 Datathon Videos
by Neha Goel, Technical Lead for AI/Data Science competitions at Mathworks
This dataset presents an opportunity to learn about the data modeling and processing challenges a real-world data problem brings. In this blog, I will talk about some basic methods to handle data challenges. To learn some more methods you can go through this Data Science Tutorial video series.
Read the tutorial
by Sharada Kalanidhi, WiDS Datathon Co-Chair
This dataset presents an opportunity to learn about interesting and real-world modeling challenges, and is different from other curated datasets in textbooks and classic machine learning exercises. For that reason, I discuss some of the challenges you may experience around missing data, multicollinearity and linear/ nonlinear approaches. I will also provide resources to help you on these topics.
Read the discussion