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05

Feature Engineering

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05

Feature Engineering

magic_button Feature Engineering Machine Learning Machine Learning Models
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24 hours Introductory universal_currency_alt 15 Credits

This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.

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Course Info
Objectives
  • Describe Vertex AI Feature Store and compare the key required aspects of a good feature.
  • Perform feature engineering using BigQuery ML, Keras, and TensorFlow.
  • Discuss how to preprocess and explore features with Dataflow and Dataprep.
  • Use tf.Transform.
Prerequisites
Familiarity with Python or other programming languages.
Audience
- Data Analysts - Data Engineers - Data Scientists - ML Engineers - ML Software Engineers
Available languages
English, español (Latinoamérica), français, 日本語, 한국어, and português (Brasil)
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View the public classroom schedule here.
Can I take this course for free?
When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
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