Decision Trees
Finding the questions that split — and knowing when a tree has stopped learning.
The first path in AI & ML Foundations where you build a model rather than sort problems, and it is a tree first because a tree's reasoning is a conversation you can have out loud. One question runs the whole path — which question do you ask first, and how do you know it was right — asked by feel on sixteen animals, by arithmetic on twenty-four films, and then on 1,500 real employees where feel fails. By the end you can build a tree by hand, read every decision it makes, and say when it has stopped learning and started memorising.
Available
8
lessons
Coming soon
0
lessons
Total time
1 hr 45 min
Cert
70%
to pass
Earn: Expedify Certified — Decision Trees
What you'll learn
Decision Trees
Which question do you ask first, and how do you know it was right? Asked by feel on sixteen animals, by arithmetic on twenty-four films, and then on 1,500 real employees where feel fails.
- 1Start →
What a decision tree is — twenty questions
11 min
- 2Start →
Gini impurity — how mixed is this pile?
12 min
- 3Start →
Entropy — how many questions is the answer worth?
12 min
- Start →
Check: measuring a mixed pile
Knowledge check · 5 questions
- 4Start →
Information gain — which question to ask first
13 min
- 5Start →
Tree depth and leaf size — knowing when to stop
14 min
- Start →
Check: choosing a question, and stopping
Knowledge check · 4 questions
- 6Start →
Overfitting — perfect on what it has seen
15 min
- 7Start →
Data leakage — the column that gives the game away
14 min
- Start →
Check: scores that are not what they look like
Knowledge check · 5 questions
- 8Start →
Ranking and lift — turning a tree into a list of names
14 min
Earn your certificate
Final assessment
Sign in and complete 80% of the path to unlock
Final assessment
Pass the 70% assessment · 6 questions · to earn the Expedify Certified — Decision Trees.
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