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Introduction to Machine Learning

Feature Engineering

The work that most often decides the result, and is least often covered in tutorials.

Level
Intermediate
Lessons
1
Total time
20 min
Simulations
1
Included in Introduction to Machine Learning · $9
Tools you'll use
  • Python
  • scikit-learn
  • pandas
  • NumPy
Skills
  • Feature engineering
  • Encoding
  • Time features
Try it now — free

This is the real simulation from the module. No account needed.

What you will be able to do

  • Create features that actually move the score
  • Encode categorical variables without leakage
  • Turn dates and text into useful features

Syllabus

1 lesson · 20 min

Every lesson's title and summary is public. The lessons themselves open once you own the track.

Every lesson in Introduction to Machine Learning

  1. Building Features That Help

    20 min

    Encoding, transformation, date features, aggregation. Plus one warning about target encoding.

    Included with the track Simulation

Practice included

Included with the track. Quizzes are graded on the server; competitions have a live leaderboard.

  • Industry case studyCase Study: Retail Stock Forecasting
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