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Skills

Feature Engineering

  • Number of Courses6 courses
  • Duration17 hours
  • Skill IQ available Skill IQ

Feature engineering is the process of using domain knowledge and insight into data to define features that enable machine learning algorithms to work successfully. Feature engineering is a fundamental part of the data preparation workflow for machine learning solutions.

Courses in this path

Beginner

Learn how feature engineering fits into the machine learning workflow, and build your first features from numerical data.

Preparing Data for Feature Engineering and Machine Learning

  • by Janani Ravi
  • 3h 17m 54s Duration
  • 4.7  (40)

Building Features from Numeric Data

  • by Janani Ravi
  • 2h 25m 35s Duration
  • 4.8  (24)

Intermediate

Transform nominal data, such as names or categories, into features appropriate for machine learning, and apply techniques for simplifying large data sets.

Building Features from Nominal Data

  • by Janani Ravi
  • 2h 39m 52s Duration
  • 4.4  (14)

Reducing Complexity in Data

  • by Janani Ravi
  • 3h 20m 45s Duration
  • 4.4  (22)

Advanced

Extract features from text documents and images.

Building Features from Text Data

  • by Janani Ravi
  • 2h 36m 23s Duration
  • 4.7  (24)

Building Features from Image Data

  • by Janani Ravi
  • 2h 10m 31s Duration
  • 4.2  (17)

Learn with the best

Janani Ravi
Janani Ravi
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing ... more

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