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 stars63.35%
- 4 stars25.17%
- 3 stars7.41%
- 2 stars2.11%
- 1 star1.94%
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.
Nicely explained concepts with real world examples! Could have explain more about the code and the meaning behind some of the qwiklabs.
In depth and advanced. I spent hours poring over the Jupyter notebooks and consequently derived a great deal of value from the course.
This course is a little bit harder than the former three courses. But the intuition of feature cross and embedding is very inspiring.