Mapped to CBSE AI 843 — Class 12 syllabus.
Feature engineering & selection
Aanya and Vihaan reach a new challenge: "Feature engineering & selection". Think about sales prediction.
Pixel beeps: "Don't just read about it — let's learn by DOING. Try the demo below! "
Better features, better models. Feature engineering creates useful inputs from raw data — turning a date into 'is_weekend', or text into word counts. Often, smart features beat fancier models.
Selecting features. Too many features add noise and overfitting. Feature selection keeps only the informative ones, making models faster and more accurate.
From a raw timestamp, engineer 'hour', 'is_weekend', 'is_festival'. These often predict sales far better than the raw timestamp.
Turn on the helpful clues (colour, shape, size) and watch accuracy rise above 80%.
Feature engineering means…
- Better features, better models
- Selecting features
Finish the demo and practice above to continue.