Feature Engineering
- Offered byCoursera
Feature Engineering at Coursera Overview
Duration | 18 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Feature Engineering at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 4 of 5 in the Machine Learning with TensorFlow on Google Cloud Platform Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 18 hours to complete
- English Subtitles: English
Feature Engineering at Coursera Course details
- 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 will discuss good vs bad features and how you can preprocess and transform them for optimal use in your models.
Feature Engineering at Coursera Curriculum
Introduction to Course
Introduction to Course
Getting Started with Google Cloud and Qwiklabs
An Overview of Feature Engineering
Raw Data to Features
Good vs Bad Features
Features Known at Prediction-time
Features should be Numeric
Features Should Have Enough Examples
Bringing Human Insight
Representing Features
ML vs Statistics
Lab Intro: Basic Feature Engineering in BQML
Lab Intro: Basic Feature Engineering in Keras
Resources
Raw Data to Features and Good vs Bad Features
Prediction time, Numeric, Enough Examples, Human sight
Representing Features questions
Feature Engineering
Preprocessing and feature creation
Beam and Dataflow
Lab Intro: Simple Dataflow Pipeline
Lab Solution: Simple Dataflow Pipeline
Data Pipelines that Scale
Lab Intro: MapReduce in Dataflow
Lab Solution: MapReduce in Dataflow
Preprocessing with Cloud Dataprep
Lab Intro: Computing Time-Windowed Features in Cloud Data
Lab Solution: Computing Time-Windowed Features in Cloud Dataprep
Resources
Apache Beam and Cloud Dataflow
Preprocessing with Cloud Dataprep
Feature Crosses
Introducing Feature Crosses
What is a Feature Cross
Discretization
Memorization vs. Generalization
Taxi colors
Lab Intro: Feature Crosses to create a good classifier
Lab Solution: Feature Crosses to create a good classifier
Sparsity + Quiz
Lab Intro: Too Much of a Good Thing
Lab Solution: Too Much of a Good Thing
Implementing Feature Crosses
Embedding Feature Crosses
Feature Creation in TensorFlow
Feature Creation in DataFlow
Lab Intro: Improve ML Model with Feature Engineering
Lab Solution: ML Fairness Debrief
Lab Intro: Advanced Feature Engineering in BQML
Lab Intro: Advanced Feature Engineering in Keras
Resources
Feature crosses
Module Quiz
TensorFlow Transform
Introducing TensorFlow Transform
TensorFlow Transform
Analyze phase
Transform phase
Supporting serving
Lab Intro: Exploring tf.transform
Resources
tf.transform
Summary
Resources - Readings Compiled as PDF
All Quiz Questions as a PDF
Course Slides
Course Quiz
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Student Forum
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