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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