Bracketology with Google Machine Learning Reviews

Steve R. · Reviewed almost 2 years ago

Nelson T. · Reviewed almost 2 years ago

RICARDO B. · Reviewed almost 2 years ago

Sebastian F. · Reviewed almost 2 years ago

ZACK Z. · Reviewed almost 2 years ago

Mayookh M. · Reviewed almost 2 years ago

Adrian Dominique A. · Reviewed almost 2 years ago

Shiva S. · Reviewed almost 2 years ago

qipeng g. · Reviewed almost 2 years ago

Prashant K. · Reviewed almost 2 years ago

sergio p. · Reviewed almost 2 years ago

Piotr T. · Reviewed almost 2 years ago

Rammohan D. · Reviewed almost 2 years ago

Use BigQuery to access the public NCAA dataset Explore the NCAA dataset to gain familiarity with the schema and scope of the data available Prepare and transform the existing data into features and labels Split the dataset into training and evaluation subsets Use BigQuery ML to build a model based on the NCAA tournament dataset Use your newly created model to predict NCAA tournament winners for your bracket

Rehma I. · Reviewed almost 2 years ago

Aaron R. · Reviewed almost 2 years ago

Jack S. · Reviewed almost 2 years ago

Anirudh J. · Reviewed almost 2 years ago

leeza k. · Reviewed almost 2 years ago

Christoph K. · Reviewed almost 2 years ago

Ola Z. · Reviewed almost 2 years ago

Amir N. · Reviewed almost 2 years ago

Brian Z. · Reviewed almost 2 years ago

Lou F. · Reviewed almost 2 years ago

Sandesh M. · Reviewed almost 2 years ago

Not knowing/undestanding basketball make the feature engineering piece difficult to understand. It had the desired outcome but the features created/used were not obvious.

David W. · Reviewed almost 2 years ago