关于“Performing Advanced 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 Advanced Feature Engineering in Keras”的评价

9516 条评价

Bastien C. · 已于 almost 2 years前审核

Joel G. · 已于 almost 2 years前审核

Naveen M. · 已于 almost 2 years前审核

J J. · 已于 almost 2 years前审核

Titouan L. · 已于 almost 2 years前审核

Namisha T. · 已于 almost 2 years前审核

Christian S. · 已于 almost 2 years前审核

Julio J. · 已于 almost 2 years前审核

Daniel I. · 已于 almost 2 years前审核

Ibrahim O. · 已于 almost 2 years前审核

Lana H. · 已于 almost 2 years前审核

Баходир О. · 已于 almost 2 years前审核

Claudio G. · 已于 almost 2 years前审核

Michal M. · 已于 almost 2 years前审核

Eder Alexander T. · 已于 almost 2 years前审核

Eder Alexander T. · 已于 almost 2 years前审核

Eder Alexander T. · 已于 almost 2 years前审核

Ruijun W. · 已于 almost 2 years前审核

JAP J. · 已于 almost 2 years前审核

Tomás H. · 已于 almost 2 years前审核

ok

RISHI J. · 已于 almost 2 years前审核

It's hard understand what should I do in the task. Example. Lab Task #1: Processing temporal feature columns in Keras We incorporate the temporal feature pickup_datetime. As noted earlier, pickup_datetime is a string and we will need to handle this within the model. First, you will include the pickup_datetime as a feature and then you will need to modify the model to handle our string feature. It is hard to understand what should i do with date. and the solution - parse it and get the dayof the week. how can i knew that you are waiting from me to get exactly the day.

Анастасія Л. · 已于 almost 2 years前审核

Ilyas B. · 已于 almost 2 years前审核

Diana K. · 已于 almost 2 years前审核

Babulal S. · 已于 almost 2 years前审核

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。