Performing Basic Feature Engineering in Keras Reviews
Loading...
No results found.

Apply your skills in Google Cloud console

Performing Basic Feature Engineering in Keras Reviews

10064 reviews

Pieter B. · Reviewed почти 2 лет ago

Maria G. · Reviewed почти 2 лет ago

Sambasivam S. · Reviewed почти 2 лет ago

Ishan C. · Reviewed почти 2 лет ago

John P. · Reviewed почти 2 лет ago

Andrea N. · Reviewed почти 2 лет ago

Anudeep A. · Reviewed почти 2 лет ago

Benson P. · Reviewed почти 2 лет ago

Deven A. · Reviewed почти 2 лет ago

Shahnewaz K. · Reviewed почти 2 лет ago

Mario O. · Reviewed почти 2 лет ago

Piotr P. · Reviewed почти 2 лет ago

Victor G. · Reviewed почти 2 лет ago

Parthasarathi M. · Reviewed почти 2 лет ago

Dharmik M. · Reviewed почти 2 лет ago

A bit confusing - we changed 'train' dataframe into 'train_ds', then scaled numeric features from 'train' dataframe. And we push to the model scaled feature columns and fit model with unscaled 'train_ds'? Shouldn't all features be engineered before making the datasets?

Sławomir W. · Reviewed почти 2 лет ago

Wahyu A. · Reviewed почти 2 лет ago

RAMACHANDRAN m. · Reviewed почти 2 лет ago

Ong W. · Reviewed почти 2 лет ago

IRFAN ULLAH K. · Reviewed почти 2 лет ago

Bot M. · Reviewed почти 2 лет ago

Leona Y. · Reviewed почти 2 лет ago

it seems their are some columns not present in the data set (housing_df = pd.read_csv('../data/housing_pre-proc_toy.csv', error_bad_lines=False) error_bad_lines=False gave an error to me

Eliette C. · Reviewed почти 2 лет ago

Dhruba P. · Reviewed около 2 лет ago

Ashish T. · Reviewed около 2 лет ago

We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.