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Who it's for
Students
Graduate with proof, not just a degree.
Professionals
Be the one at work who actually knows AI.
Executives
Make the AI call with confidence.
Teams
Upskill the whole team, and measure it.
Educators
Teach what you know. Get paid fairly.
Platform
Pathfinder roadmaps
Your goal in, a week-by-week plan out.
Squad Mode
Study rooms with friends, a timer and a mood.
Verified Credentials
Proof you can do it, checkable in one click.
Teach & earn
Prove a topic, then get paid to teach it.
Ask the Library
Ask anything. Get the exact lesson.
Study tools
Flashcards, a notebook and a tutor that remember for you.
Resources
The library
Every course, module and topic.
AI of the Week
One development, explained.
Executive briefings
Twenty minutes on strategy and risk.
Paper Club
One paper a week, reproduced.
Office hours
AMAs, workshops, study halls.
Research Labs
Guided research, public showcase.
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Library
/
Machine Learning (Supervised + Unsupervised)
/
Unsupervised Learning by Building (one technique, two mini projects)
topic
U02 · Build: Clustering — A: Customer Segmentation with RFM (Online Retail II) · B: Electricity Day Types
Build the features to cluster
10 min
K-means: build the core loop once, then use scikit-learn
10 min
Choose the number of clusters
10 min
Hierarchical clustering
10 min
DBSCAN and HDBSCAN
10 min
Gaussian Mixture Models
10 min
Compare algorithms, profile and name the segments
10 min
Assign new data and check stability
10 min
Practice (optional): German Credit personas revisited
0 min
Total: 1.3 h of applied study listed above.
U02 · Build: Clustering — A: Customer Segmentation with RFM (Online Retail II) · B: Electricity Day Types · 1x1labs.ai