Performing Basic Feature Engineering in Keras Reviews

11713 reviews

Greg G. · Reviewed מעל 2 שנים ago

Dakam P. · Reviewed מעל 2 שנים ago

Jinay J. · Reviewed מעל 2 שנים ago

Aki R. · Reviewed מעל 2 שנים ago

Gustavo R. · Reviewed מעל 2 שנים ago

Not updated, install scikit-learn, should seed both the lab and solution.

Guang Jun . · Reviewed מעל 2 שנים ago

Man L. · Reviewed מעל 2 שנים ago

Elvira S. · Reviewed מעל 2 שנים ago

Hrutik P. · Reviewed מעל 2 שנים 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 מעל 2 שנים ago

The jupyter lab did not start

Sonali M. · Reviewed מעל 2 שנים ago

Wojciech Ś. · Reviewed מעל 2 שנים ago

Thiago S. · Reviewed מעל 2 שנים ago

Anthony H. · Reviewed מעל 2 שנים 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 מעל 2 שנים ago

Piotr T. · Reviewed מעל 2 שנים ago

Konrad S. · Reviewed מעל 2 שנים ago

Amanda K. · Reviewed מעל 2 שנים ago

Nelson F. · Reviewed מעל 2 שנים ago

does not work, scikit-learn warning at the beginning

Adrian K. · Reviewed מעל 2 שנים ago

Kaita F. · Reviewed מעל 2 שנים ago

Karen L. · Reviewed מעל 2 שנים ago

Rainer B. · Reviewed מעל 2 שנים ago

Tulkin Y. · Reviewed מעל 2 שנים ago

Sandesh T. · Reviewed מעל 2 שנים ago

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