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

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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

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