For any questions, please email us atconnect@tamudatathon.com
MLH Code of Conduct
2022 Datathon
In this workshop we will take you though one of the most powerful ML algorithms: Decision Trees. We will follow that up with a form of bagging called Random Forests and then a form of boosting called XGBoost. Finally, we’ll teach how to avoid overfitting through cross validation, hyperparameter tuning and feature selection. All of this will be done in Python with sklearn. Looking forward to seeing you there!
Sunday Oct 18th, 2:30am to 3:45am (GMT)
Allyson King
Allyson is the VP of TAMU Datathon, a BS Statistics and (almost) Computer Science, and has worked at AT&T and TTI.
Join our Discord community and talk with TD organizers and like minded DS/ML enthusiasts!