Performing Basic Feature Engineering in Keras Reviews

Pieter B. · Reviewed almost 2 years ago

Maria G. · Reviewed almost 2 years ago

Sambasivam S. · Reviewed almost 2 years ago

Ishan C. · Reviewed almost 2 years ago

John P. · Reviewed almost 2 years ago

Andrea N. · Reviewed almost 2 years ago

Anudeep A. · Reviewed almost 2 years ago

Benson P. · Reviewed almost 2 years ago

Deven A. · Reviewed almost 2 years ago

Shahnewaz K. · Reviewed almost 2 years ago

Mario O. · Reviewed almost 2 years ago

Piotr P. · Reviewed almost 2 years ago

Victor G. · Reviewed almost 2 years ago

Parthasarathi M. · Reviewed almost 2 years ago

Dharmik M. · Reviewed almost 2 years 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 almost 2 years ago

Wahyu A. · Reviewed almost 2 years ago

RAMACHANDRAN m. · Reviewed almost 2 years ago

Ong W. · Reviewed almost 2 years ago

IRFAN ULLAH K. · Reviewed almost 2 years ago

Bot M. · Reviewed almost 2 years ago

Leona Y. · Reviewed almost 2 years 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 almost 2 years ago

Dhruba P. · Reviewed about 2 years ago

Ashish T. · Reviewed about 2 years ago