#scikitlearn
Live, measured metrics for the hashtag #scikitlearn from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #scikitlearn
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-10-17 16:24 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-17 16:24 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-17 16:24 UTCEverything below is measured over the latest 40 public posts (spanning ~15591 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (21) · Russian (16) · Basque (1) · Portuguese (1) · French (1)
Avg boosts / post: 0.6
Top of the latest posts
I have also made a couple of changes, bug fixes, in the Diaphora ML repository with the dataset(s) and the tools for training. https://github.com/joxeankoret/diaphora-ml #diaphora #ml #machinelearning #scikitlearn
“Simple and efficient tools for predictive data analysis.” - scikit-learn Artificial intelligence...#ai #machinelearning #scikitlearn #llm #software #coding #development #engineering #inclusive #community Scikit-learn vs LLM APIs: Which Sho
TL;DR: Before anything clever, fit a model that guesses the majority class and a plain logistic...#machinelearning #scikitlearn #python #datascience #software #coding #development #engineering #inclusive #community Your First Model Should B
What “scikitlearn” means
Wikipediascikit-learn is a free and open-source machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. Scikit-learn is a NumFOCUS fiscally sponsored project.
“Scikit-learn” on Wikipedia (CC BY-SA) →#scikitlearn across platforms
every network with a public tag surfaceFollow #scikitlearn straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/scikitlearn