K-Means: Cluster From Scratch
Cluster raw points into natural groups by building k-means yourself with numpy: assign, recompute, repeat. The workhorse of unsupervised machine learning, in vectorized Python.
What you'll be able to build
Cluster raw points into natural groups by building k-means yourself with numpy: assign, recompute, repeat. The workhorse of unsupervised machine learning, in vectorized Python. Along the way you pick up real, transferable Python skills, not just this one project:
- numpy arrays and vectorized distance math
- assigning points to the nearest centroid
- recomputing centroids as group means
- looping until centroids stop moving
- seeding for reproducible clusters
- scoring how tight the clusters are
A course like this one
Yours is built from your own placement, so module count and depth will differ. This map shows what a intermediate-level Python learner building K-Means actually gets.
- Module 1: Values and output5 lessons
Builds the script for your K-Means.
- Module 2: Collections and data5 lessons
Builds the data flow workflow for your K-Means.
- Module 3: Branching and state5 lessons
Builds the function that powers your K-Means.
- Module 4: Functions and tests5 lessons
Builds the reusable module for your K-Means.
- Module 5: Files, APIs, and persistence5 lessons
Builds the service boundary for your K-Means.
- Module 6: Packaging and review3 lessons
Builds the release package for your K-Means.
How the lessons actually work
Every lesson has you predict what a piece of Python code will output before you run it, then run it for real in your browser and fix what you got wrong. Each module ends in a challenge gate with hidden tests, so you can't advance until your code actually works. The course closes with a capstone that assembles everything into K-Means, and a runnable proof page tied to your own code.
Common questions
How long does the K-Means: Cluster From Scratch course take?
about 7 hours, across 6 modules and 28 lessons, at roughly 15 minutes per lesson. Your own course may run shorter or longer, since it's sized to your placement result, not a fixed template.
Do I need experience?
Some. This is an intermediate-tier Python project, so it assumes you're comfortable with Python basics and pushes past them.
How much does it cost?
$15 one-time, no subscription. The first module is free, so you can see exactly how the course teaches before you pay for the rest.