March Madness, Machine Learning & what could have been

Code for Thought: The tournament is canceled, but here's how you can still use Kaggle data sets and ML to predict the winners. Follow along.

View in browser Kansas, Michigan State, Gonzaga or Dayton? Which team had the best chance at winning March Madness 2020? YOU can find out with your machine learning skills.  March Madness and the annual Kaggle competition have both been cancelled. But that doesn't mean we can't use Machine Learning to make a prediction! Follow along as we work through Kaggle's historical datasets, pick out key stats, and apply suitable algorithms. Then try it yourself, using our included March Madness Runtime Environment, which will get you up and running quickly. Learn how to run your own 2020 March Madness Mock tournament using common ML techniques so you'll be all set to win the Kaggle competition next year. Take a Look You are receiving this email because you signed up for the latest insights from ActiveState. Code for thought by ActiveState is a monthly email that shares a topic handpicked for you by our dev content team. Received this email from a friend? Sign up here. ActiveState Software, 1000 - 1177 West Hastings Street, Vancouver, BC V6E 2K3 Unsubscribe Manage preferences