Want to know about Vertex AI Feature Store? Want to know how you can improve the accuracy of your ML models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering, where we discuss good versus bad features and how you can preprocess and transform them for optimal use in your models. This course includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
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- 5 stars63,37 %
- 4 stars25,05 %
- 3 stars7,47 %
- 2 stars2,16 %
- 1 star1,92 %
Principales reseñas sobre INGENIERÍA DE CARACTERÍSTICAS
Feature engineering is important but less discussed compared to general ML or DNN. Feature cross is a new concept and yet very useful for dealing with large datasets.
The content is great, not just from a technical point of view but for all the know-how that the different instructors share during in the videos and labs.
The part about tensorflow transform in the end is super rushed and not that clear, other than that the course is well made and clear in its instructions and very recommended!
faced multiple issues
a)Qwiklab wasnt allowing to login with error that said "account is locked"
b) labs were not as interesting as others
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