Bracketology with Google Machine Learning Reviews

Harine J. · Reviewed 29 days ago

Ramadevi K. · Reviewed 29 days ago

Asif Quasmi Q. · Reviewed 29 days ago

Pankaj K. · Reviewed 29 days ago

Somebuddy D. · Reviewed 29 days ago

Nurkassym B. · Reviewed 29 days ago

Maksym Z. · Reviewed 29 days ago

José Ignacio L. · Reviewed 29 days ago

Jitender M. · Reviewed 29 days ago

Srinivas S. · Reviewed 29 days ago

Thanh N. · Reviewed 29 days ago

健太 森. · Reviewed 30 days ago

Marcelo G. · Reviewed 30 days ago

Sreeni P. · Reviewed 30 days ago

Sébastien P. · Reviewed 30 days ago

Lorenzo O. · Reviewed 30 days ago

Tania Isabel M. · Reviewed 30 days ago

Alfredo Jose A. · Reviewed 30 days ago

Gaspare V. · Reviewed 30 days ago

Piotr B. · Reviewed 30 days ago

Kateryna S. · Reviewed about 1 month ago

no problems, maybe question discussion point range team: high-lowscoring-winning team only add to model if invidual profile of style is significant for winning, e.g. look at good attk vs good defence, good attk vs good defence, etc. and make a correlarion or stochastic dependency test; compare with other features if wanted, and decide if should be added

Christian W. · Reviewed about 1 month ago

Joaquin L. · Reviewed about 1 month ago

very good

Psycho H. · Reviewed about 1 month ago

Manpreet B. · Reviewed about 1 month ago