Skip to learning content

DATA SCIENCE PYTHON PLAYGROUND

Machine Learning · Learn / Refresh

← Choose a model deck
TEACHING COLLECTION

Discovery foundations

Frame a question without a prediction target, then decide what distance and scale mean for these observations.

Helpful prior knowledge: What question are we answering? · Features and target · Learn a scale from training rows. These links are guidance, not locks.

Follow teaches the idea; Change asks you to make a choice; Transfer changes the context. Apply, reviews and checkpoints appear where the existing lessons provide them. Go Further lessons are optional.

Lessons in this model deck

Start with the first core lesson →

U01Core · teaching
Discovery has no prediction target: No target y, Find groups, Describe structureNo target yFind groupsDescribe structure

Discovery has no prediction target

State the exploratory population and question.

12–18 min · 3 practices
U02Core · teaching
Distance depends on scale and context: Original units, Scaled space, Distance changeskm and minBoth in SD units

Distance depends on scale and context

Fit a meaningful distance representation for the exploratory population.

12–18 min · 3 practices

Choose your next model deck

K-Means · Hierarchical clustering · Principal component analysis

Browse all Clustering and Discovery lessons, reviews and checkpoints →

Choose an independent workflow challenge →