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Machine Learning App Development
Educational resource covering machine learning app development practices and techniques
verified Jul 13, 2026 · HTTP 200
CohortClass of 2026What it is
Educational resource covering machine learning app development practices and techniques. Provides insights into integrating ML models into production applications. Designed for developers seeking to understand ML implementation strategies.
HTTP liveness
9 probes since Jun 16Jun 16Jul 13
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)
Observed events
probes · press · GitHub- Jun 16, 2026First probe — liveAlive · 200 OK
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Pulse Indexobserved activity
422/4 signal families
Liveness40%1.00
Press30%no data
GitHub20%no data
Tranco10%0.17
Weighted observed activity · updated Jul 15
Cohort survival · Class of 2026weekly
567 products launched in 2026 · 100% still active
567 active0 sunset
Still active
100%
Median lifespan
4.9y