Bracketology with Google Machine Learning Reviews

Steve R. · Reviewed почти 2 лет ago

Nelson T. · Reviewed почти 2 лет ago

RICARDO B. · Reviewed почти 2 лет ago

Sebastian F. · Reviewed почти 2 лет ago

ZACK Z. · Reviewed почти 2 лет ago

Mayookh M. · Reviewed почти 2 лет ago

Adrian Dominique A. · Reviewed почти 2 лет ago

Shiva S. · Reviewed почти 2 лет ago

qipeng g. · Reviewed почти 2 лет ago

Prashant K. · Reviewed почти 2 лет ago

sergio p. · Reviewed почти 2 лет ago

Piotr T. · Reviewed почти 2 лет ago

Rammohan D. · Reviewed почти 2 лет 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 почти 2 лет ago

Aaron R. · Reviewed почти 2 лет ago

Jack S. · Reviewed почти 2 лет ago

Anirudh J. · Reviewed почти 2 лет ago

leeza k. · Reviewed почти 2 лет ago

Christoph K. · Reviewed почти 2 лет ago

Ola Z. · Reviewed почти 2 лет ago

Amir N. · Reviewed почти 2 лет ago

Brian Z. · Reviewed почти 2 лет ago

Lou F. · Reviewed почти 2 лет ago

Sandesh M. · Reviewed почти 2 лет 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 почти 2 лет ago