关于“Performing Basic Feature Engineering in Keras”的评价

Man L. · 已于 almost 2 years前审核

Elvira S. · 已于 almost 2 years前审核

Hrutik P. · 已于 almost 2 years前审核

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. · 已于 almost 2 years前审核

The jupyter lab did not start

Sonali M. · 已于 almost 2 years前审核

Wojciech Ś. · 已于 almost 2 years前审核

Thiago S. · 已于 almost 2 years前审核

Anthony H. · 已于 almost 2 years前审核

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. · 已于 almost 2 years前审核

Piotr T. · 已于 almost 2 years前审核

Konrad S. · 已于 almost 2 years前审核

Amanda K. · 已于 almost 2 years前审核

Nelson F. · 已于 almost 2 years前审核

does not work, scikit-learn warning at the beginning

Adrian K. · 已于 almost 2 years前审核

Kaita F. · 已于 almost 2 years前审核

Karen L. · 已于 almost 2 years前审核

Rainer B. · 已于 almost 2 years前审核

Tulkin Y. · 已于 almost 2 years前审核

Sandesh T. · 已于 almost 2 years前审核

Ian C. · 已于 almost 2 years前审核

Vaibhav N. · 已于 almost 2 years前审核

Mouad A. · 已于 almost 2 years前审核

Fabien D. · 已于 almost 2 years前审核

Akash C. · 已于 almost 2 years前审核

Yomna M. · 已于 almost 2 years前审核