Performing Basic Feature Engineering in Keras Reviews
10038 reviews
Jinay J. · Reviewed over 1 year ago
Aki R. · Reviewed over 1 year ago
Gustavo R. · Reviewed over 1 year ago
Not updated, install scikit-learn, should seed both the lab and solution.
Guang Jun . · Reviewed over 1 year ago
Man L. · Reviewed over 1 year ago
Elvira S. · Reviewed over 1 year ago
Hrutik P. · Reviewed over 1 year ago
This lab was pretty bad to be honest. Many of the parts we're expected to fill in were not really covered (e.g., defining a function within a function for scaling the data seems like an over-complicated way of standardizing the data). It also doesn't follow best ML practices. For instance, you train one model, then load the test dataset to make a prediction. Then after feature engineering, you predict on the test dataset again to compare models. This should not be done. Also, you refer to one of the models as 'linear regression', but I don;t understand why? You create a DNN in Keras and use ReLU activation functions, so how is it linear regression?
Robert S. · Reviewed over 1 year ago
The jupyter lab did not start
Sonali M. · Reviewed over 1 year ago
Wojciech Ś. · Reviewed over 1 year ago
Thiago S. · Reviewed over 1 year ago
Anthony H. · Reviewed over 1 year ago
Very odd prediction for the first model (without feature engineering), house value is predicted below 10000, very far from the solution's 190k. Moreover it seems like the ocean proximity categorical feature is not included in the feature columns in the first part
Etienne V. · Reviewed over 1 year ago
Piotr T. · Reviewed over 1 year ago
Konrad S. · Reviewed over 1 year ago
Amanda K. · Reviewed over 1 year ago
Nelson F. · Reviewed over 1 year ago
does not work, scikit-learn warning at the beginning
Adrian K. · Reviewed over 1 year ago
Kaita F. · Reviewed over 1 year ago
Karen L. · Reviewed over 1 year ago
Rainer B. · Reviewed over 1 year ago
Tulkin Y. · Reviewed over 1 year ago
Sandesh T. · Reviewed over 1 year ago
Ian C. · Reviewed over 1 year ago
Vaibhav N. · Reviewed over 1 year ago
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