Performing Basic Feature Engineering in Keras Reviews
10038 reviews
Jinay J. · Reviewed أكثر من سنة ago
Aki R. · Reviewed أكثر من سنة ago
Gustavo R. · Reviewed أكثر من سنة ago
Not updated, install scikit-learn, should seed both the lab and solution.
Guang Jun . · Reviewed أكثر من سنة ago
Man L. · Reviewed أكثر من سنة ago
Elvira S. · Reviewed أكثر من سنة ago
Hrutik P. · Reviewed أكثر من سنة 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 أكثر من سنة ago
The jupyter lab did not start
Sonali M. · Reviewed أكثر من سنة ago
Wojciech Ś. · Reviewed أكثر من سنة ago
Thiago S. · Reviewed أكثر من سنة ago
Anthony H. · Reviewed أكثر من سنة 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 أكثر من سنة ago
Piotr T. · Reviewed أكثر من سنة ago
Konrad S. · Reviewed أكثر من سنة ago
Amanda K. · Reviewed أكثر من سنة ago
Nelson F. · Reviewed أكثر من سنة ago
does not work, scikit-learn warning at the beginning
Adrian K. · Reviewed أكثر من سنة ago
Kaita F. · Reviewed أكثر من سنة ago
Karen L. · Reviewed أكثر من سنة ago
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