关于“Performing Basic Feature Engineering in Keras”的评价
正在加载…
未找到任何结果。

在 Google Cloud 控制台中运用您的技能

关于“Performing Basic Feature Engineering in Keras”的评价

评论

Jinay J. · 评论over 1 year之前

Aki R. · 评论over 1 year之前

Gustavo R. · 评论over 1 year之前

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

Guang Jun . · 评论over 1 year之前

Man L. · 评论over 1 year之前

Elvira S. · 评论over 1 year之前

Hrutik P. · 评论over 1 year之前

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. · 评论over 1 year之前

The jupyter lab did not start

Sonali M. · 评论over 1 year之前

Wojciech Ś. · 评论over 1 year之前

Thiago S. · 评论over 1 year之前

Anthony H. · 评论over 1 year之前

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. · 评论over 1 year之前

Piotr T. · 评论over 1 year之前

Konrad S. · 评论over 1 year之前

Amanda K. · 评论over 1 year之前

Nelson F. · 评论over 1 year之前

does not work, scikit-learn warning at the beginning

Adrian K. · 评论over 1 year之前

Kaita F. · 评论over 1 year之前

Karen L. · 评论over 1 year之前

Rainer B. · 评论over 1 year之前

Tulkin Y. · 评论over 1 year之前

Sandesh T. · 评论over 1 year之前

Ian C. · 评论over 1 year之前

Vaibhav N. · 评论over 1 year之前

我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。