★ Madness at Home and on the Court

Google Cloud & NCAA® March Madness Analytics Kaggle Competition Winner

Michaël Karpe, Emilien Etchevers, Kieran Janin, Remi Le Thai, Haley Wohlever
Apr 30, 2020
Code

 

“Wow, we won a Kaggle competition!” That’s pretty much the reaction Emilien Etchevers, Kieran Janin, Remi Le Thai, Haley Wohlever and I got when the results of the Google Cloud & NCAA March Madness Analytics competition were announced.

In this Kaggle competition, we aimed to understand the factors contributing to the entertainment, or madness, of a college basketball match using two sources: objective data on NCAA teams’ previous performances, and subjective data on fans’ reactions to games. For the purposes of this project, two dependent variables related to the madness were explored: predictability in March Madness matches, and the corresponding distribution of viewers’ sentiment.

Click on the “Code” button on top of this webpage to discover our analysis!

 

Michaël Karpe
Michaël Karpe
Machine Learning Scientist

Machine Learning Scientist at Next Gate Tech. MEng in Industrial Engineering & Operations Research, FinTech Concentration at University of California, Berkeley. Diplôme d’Ingénieur (MSc) in Applied Mathematics & Computer Science, Machine Learning & Computer Vision Concentration at Ecole des Ponts ParisTech, France.