Performing Advanced Feature Engineering in Keras Reviews
9532 reviews
Julia W. · Reviewed almost 3 years ago
Wijaya P. · Reviewed almost 3 years ago
good experience
saggurthi a. · Reviewed almost 3 years ago
Some features, e.g., dayofweek and pickup_dropoff embedding features were defined but not used.
Sadeka I. · Reviewed almost 3 years ago
Vishnu Teja R. · Reviewed almost 3 years ago
Manjesh G. · Reviewed almost 3 years ago
poornika b. · Reviewed almost 3 years ago
Giles W. · Reviewed almost 3 years ago
Marco C. · Reviewed almost 3 years ago
very useful
sathish s. · Reviewed almost 3 years ago
Ty S. · Reviewed almost 3 years ago
Koji H. · Reviewed almost 3 years ago
Xenon X. · Reviewed almost 3 years ago
Toshi S. · Reviewed almost 3 years 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 almost 3 years ago
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Carson S. · Reviewed almost 3 years ago
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