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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
U04 · Build: Anomaly Detection — A: Credit-Card Fraud Detection · B: Electricity Load Anomalies
Types of anomalies and the 'model normal' framing
10 min
Statistical baselines: z-score, IQR and contextual rules
10 min
Isolation Forest
10 min
Local Outlier Factor and One-Class SVM
10 min
Clustering-based detection
10 min
Evaluate: hidden labels (A) and injected anomalies (B)
10 min
Choose a method and design the alert
10 min
Total: 1.2 h of applied study listed above.
U04 · Build: Anomaly Detection — A: Credit-Card Fraud Detection · B: Electricity Load Anomalies · 1x1labs.ai