Performing Basic Feature Engineering in Keras Reviews
10959 reviews
Man L. · Reviewed almost 2 years ago
Elvira S. · Reviewed almost 2 years ago
Hrutik P. · Reviewed almost 2 years 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 almost 2 years ago
The jupyter lab did not start
Sonali M. · Reviewed almost 2 years ago
Wojciech Ś. · Reviewed almost 2 years ago
Thiago S. · Reviewed almost 2 years ago
Anthony H. · Reviewed almost 2 years 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 almost 2 years ago
Piotr T. · Reviewed almost 2 years ago
Konrad S. · Reviewed almost 2 years ago
Amanda K. · Reviewed almost 2 years ago
Nelson F. · Reviewed almost 2 years ago
does not work, scikit-learn warning at the beginning
Adrian K. · Reviewed almost 2 years ago
Kaita F. · Reviewed almost 2 years ago
Karen L. · Reviewed almost 2 years ago
Rainer B. · Reviewed almost 2 years ago
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Akash C. · Reviewed almost 2 years ago
Yomna M. · Reviewed almost 2 years ago
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