Python Idle
A botanist has collected measurements from 150 iris flowers but lost the species labels in a lab fire. She hands you the raw petal and sepal measurements and asks: "Can you figure out how many distinct species are in here — without knowing the answer in advance?" This is the essence of unsupervised learning. You'll use K-Means to let the data reveal its own structure.
~15 minscenario150 rows
Loading Python runtime...
Goals: 5 tests
should create a KMeans model
should produce 150 cluster labels
should use 3 clusters
should build an elbow plot with at least 5 inertia values
Python loading...