Performing Basic Feature Engineering in Keras Reviews

Жанарыс Ы. · Reviewed almost 2 years ago

Sunil G. · Reviewed almost 2 years ago

Abinaya P. · Reviewed almost 2 years ago

Aset A. · Reviewed almost 2 years ago

Inkar O. · Reviewed almost 2 years ago

Jasmin G. · Reviewed almost 2 years ago

Jasmin G. · Reviewed almost 2 years ago

Жансая К. · Reviewed almost 2 years ago

Nicoll Y. · Reviewed almost 2 years ago

Mark K. · Reviewed almost 2 years ago

Marites A. · Reviewed almost 2 years ago

Xiao H. · Reviewed almost 2 years ago

Ashok B. · Reviewed almost 2 years ago

ok

RAFAEL E. · Reviewed almost 2 years ago

Jacob G. · Reviewed almost 2 years ago

Mariusz D. · Reviewed almost 2 years ago

Jamie W. · Reviewed almost 2 years ago

Conrad W. · Reviewed almost 2 years ago

Bharat S. · Reviewed almost 2 years ago

More time needed

Ísis S. · Reviewed almost 2 years ago

Гулбаршын У. · Reviewed almost 2 years ago

Feature crosses gives us a large categorical sparse input, which contradict one video that tells about that "Sparse models contain fewer features and therefore are easier to train on limited data" but actually doing feature crosses we have much more inputs

Andrzej Z. · Reviewed almost 2 years ago

Tomasz W. · Reviewed almost 2 years ago

Галымжан Н. · Reviewed almost 2 years ago

Галымжан Н. · Reviewed almost 2 years ago