WEEK 6 · TUESDAY
Week 6 · Day 2 — Feature Engineering: Building the Stats That Matter
1.5 hours·12 sections
Section 1 of 120/12 done
Week 6 · Day 2 — Feature Engineering: Building the Stats That Matter
Week 6: "The Scout" | Day 2 of 5 Theme: Creating new features from raw data — sports-specific engineering
The Real Edge in Machine Learning
Professional scouts don't just track raw stats. They track derived stats — combinations that reveal something raw numbers hide.
Goals per 90 is decent. But goal contribution rate (goals + assists per shot on target created) tells a completely different story.
Feature engineering = creating new columns from existing ones. It's where data scientists with domain knowledge (like you — a midfielder who plays the game) beat pure mathematicians.
"The model learns from what you give it. Give it better inputs, get better outputs."