Feature Engineering, Certificate | Part time online | Coursera | United States
1 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
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About

This Feature Engineering course offered by Coursera in partnership with Google Cloud includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.

Visit the Visit programme website for more information

Overview

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 the Feature Engineering course offered by Coursera in partnership with Google Cloud, where we discuss good versus bad features and how you can preprocess and transform them for optimal use in your models. 

What you will learn

  • Use the Vertex AI Feature Store

  • Describe how to move from raw data to features

  • Perform Feature Engineering in BigQuery ML and Keras

  • Preprocess features using Apache Beam and Cloud DataFlow

  • Use tf.Transform

Programme Structure

Courses include:

  • Vertex AI Feature Store
  • Raw Data to Features
  • Feature Engineering
  • Preprocessing and Feature Creation
  • Feature Crosses - TensorFlow Playground
  • TensorFlow Transform

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate Level

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

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Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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