Performing Basic Feature Engineering in Keras Reviews

Man L. · Reviewed כמעט 2 שנים ago

Elvira S. · Reviewed כמעט 2 שנים ago

Hrutik P. · Reviewed כמעט 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 כמעט 2 שנים ago

The jupyter lab did not start

Sonali M. · Reviewed כמעט 2 שנים ago

Wojciech Ś. · Reviewed כמעט 2 שנים ago

Thiago S. · Reviewed כמעט 2 שנים ago

Anthony H. · Reviewed כמעט 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 כמעט 2 שנים ago

Piotr T. · Reviewed כמעט 2 שנים ago

Konrad S. · Reviewed כמעט 2 שנים ago

Amanda K. · Reviewed כמעט 2 שנים ago

Nelson F. · Reviewed כמעט 2 שנים ago

does not work, scikit-learn warning at the beginning

Adrian K. · Reviewed כמעט 2 שנים ago

Kaita F. · Reviewed כמעט 2 שנים ago

Karen L. · Reviewed כמעט 2 שנים ago

Rainer B. · Reviewed כמעט 2 שנים ago

Tulkin Y. · Reviewed כמעט 2 שנים ago

Sandesh T. · Reviewed כמעט 2 שנים ago

Ian C. · Reviewed כמעט 2 שנים ago

Vaibhav N. · Reviewed כמעט 2 שנים ago

Mouad A. · Reviewed כמעט 2 שנים ago

Fabien D. · Reviewed כמעט 2 שנים ago

Akash C. · Reviewed כמעט 2 שנים ago

Yomna M. · Reviewed כמעט 2 שנים ago