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Feature Engineering

Master feature engineering techniques for machine learning using Google Cloud Platform tools and services.

Master feature engineering techniques for machine learning using Google Cloud Platform tools and services.

This course is part of multiple programs including Machine Learning on Google Cloud Specialization and Machine Learning Engineer Professional Certificate. You can audit this course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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Feature Engineering

This course includes

8 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,029

What you'll learn

  • Use Vertex AI Feature Store effectively

  • Perform feature engineering with various tools

  • Implement preprocessing workflows

  • Create advanced feature transformations

  • Optimize feature selection and creation

  • Develop production-ready feature pipelines

Skills you'll gain

Feature Engineering
Machine Learning
TensorFlow
BigQuery ML
Vertex AI
Data Preprocessing
Feature Store
Data Analysis
Model Development
Python Programming

This course includes:

3 Hours PreRecorded video

6 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 8 modules in this course

This comprehensive course covers advanced feature engineering techniques using Google Cloud Platform tools. Students learn to use Vertex AI Feature Store, perform feature engineering with BigQuery ML, Keras, and TensorFlow, and implement data preprocessing with Dataflow and Dataprep. The curriculum includes practical applications of feature crosses, transformation techniques, and best practices for creating effective machine learning features.

Module 0: Introduction

Module 1 · 0 Minutes to complete

Module 1: Introduction to Vertex AI Feature Store

Module 2 · 49 Minutes to complete

Module 2: Raw Data to Features

Module 3 · 1 Hours to complete

Module 3: Feature Engineering

Module 4 · 4 Hours to complete

Module 4: Preprocessing and Feature Creation

Module 5 · 34 Minutes to complete

Module 5: Feature Crosses - TensorFlow Playground

Module 6 · 26 Minutes to complete

Module 6: Introduction to TensorFlow Transform

Module 7 · 36 Minutes to complete

Module 7: Summary

Module 8 · 40 Minutes to complete

Fee Structure

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,729 Courses

Empowering Businesses with Expert Training from Google Cloud

The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.

Feature Engineering

This course includes

8 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,029

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.