Loading...
No results found.
    Share on LinkedIn Feed Twitter Facebook

    Google Cloud Skills Boost
    Your Learning progress might get lost. Sign in or Join to save your progress.
    close

    08

    Feature Engineering

    Path navigate_next Course navigate_next Overview

    08

    Feature Engineering

    magic_button Feature Engineering Machine Learning Machine Learning Models
    These skills were generated by AI. Do you agree this course teaches these skills?
    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.

    When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

    Badge for Feature Engineering
    info
    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, português (Brasil), and italiano
    What do I do when I finish this course?
    After finishing this course, you can explore additional content in your learning path or browse the catalog.
    What badges can I earn?
    Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
    Interested in taking this course with one of our authorized on-demand partners?
    Explore Google Cloud content on Coursera and Pluralsight.
    Prefer learning with an instructor?
    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.
    Preview