Performing Advanced Feature Engineering in Keras Reviews

Dani V. · Reviewed حوالي 3 سنوات ago

Akshay S. · Reviewed حوالي 3 سنوات ago

NICE

Sanal B. · Reviewed حوالي 3 سنوات ago

Shivam P. · Reviewed حوالي 3 سنوات ago

Yasin S. · Reviewed حوالي 3 سنوات ago

Carolina G. · Reviewed حوالي 3 سنوات ago

桢楠 蔡. · Reviewed حوالي 3 سنوات ago

Gabriel G. · Reviewed حوالي 3 سنوات ago

The transform function is a bit hard to comprehend. I suggest split it into two functions. The first one does the normalization and calculates euclidean distance. The second one creates the crossed feature.

Junhao Z. · Reviewed حوالي 3 سنوات ago

JAYAVARAPU SIVA T. · Reviewed حوالي 3 سنوات ago

Julia W. · Reviewed حوالي 3 سنوات ago

Wijaya P. · Reviewed حوالي 3 سنوات ago

good experience

saggurthi a. · Reviewed حوالي 3 سنوات ago

Some features, e.g., dayofweek and pickup_dropoff embedding features were defined but not used.

Sadeka I. · Reviewed حوالي 3 سنوات ago

Vishnu Teja R. · Reviewed حوالي 3 سنوات ago

Manjesh G. · Reviewed حوالي 3 سنوات ago

poornika b. · Reviewed حوالي 3 سنوات ago

Giles W. · Reviewed حوالي 3 سنوات ago

Marco C. · Reviewed حوالي 3 سنوات ago

very useful

sathish s. · Reviewed حوالي 3 سنوات ago

Ty S. · Reviewed حوالي 3 سنوات ago

Koji H. · Reviewed حوالي 3 سنوات ago

Xenon X. · Reviewed حوالي 3 سنوات ago

Toshi S. · Reviewed حوالي 3 سنوات ago

Just about enough time to complete. suggest to give 2 hours instead. Some questions: End of lab compares predicted taxi fare for both models with and without feature engineering. However there should be comparison back to either the actual taxi fare (if known) to see which model performs closer, or comparison using val RMSE for 2 models instead, or comparison of train/val loss/mse curves. Simply comparing 2 predicted taxi fares doesnt tell which performs better.

Joy L. · Reviewed حوالي 3 سنوات ago