ML on GCP [v1.0] - C4 - Improving model accuracy with new features Reviews

Could ask for estimation differences given changes in data. How including a new feature or adjusting its rang affects the model.

Julio M. · Reviewed almost 8 years ago

Average level. Not google level lab.

Jitender S. · Reviewed almost 8 years ago

Could ask for estimation differences given changes in data. How including a new feature or adjusting its rang affects the model.

Julio M. · Reviewed almost 8 years ago

Azadeh A. · Reviewed almost 8 years ago

Javier P. · Reviewed almost 8 years ago

Christian N. · Reviewed almost 8 years ago

Cabot N. · Reviewed almost 8 years ago

吳品曄 吳. · Reviewed almost 8 years ago

Some explanation of output would have been useful including comparison to loss found on earlier models.

Jon B. · Reviewed almost 8 years ago

Jiaming K. · Reviewed almost 8 years ago

Jeff L. · Reviewed almost 8 years ago

Min L. · Reviewed almost 8 years ago

Daniel F. · Reviewed almost 8 years ago

LTI S. · Reviewed almost 8 years ago

Enrique P. · Reviewed almost 8 years ago

Jamieson S. · Reviewed almost 8 years ago

Matt F. · Reviewed almost 8 years ago

Mario Y. · Reviewed almost 8 years ago

Ezra E. · Reviewed almost 8 years ago

I would have enjoyed a prediction. But I'm sort of getting used to having the summary during the following lab solution. Looks like average loss for eval data is a reasonalbe measure of relative training effectiveness for different features.

Charlie M. · Reviewed almost 8 years ago

I would have enjoyed a summary. But I'm sort of getting used to having the sumary during the following lab solution.

Charlie M. · Reviewed almost 8 years ago

Michael B. · Reviewed almost 8 years ago

Artan R. · Reviewed almost 8 years ago

LEE S. · Reviewed almost 8 years ago

Jeffrey S. · Reviewed almost 8 years ago