Github Trends®
3194 findingsmedian surprise 0.0165window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: gharchive
FINDING #1668 · UNIT ID 770001062
tkarim45/Beginner-Data-Science-Projects
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.011
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
9.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-07-15 · FORK-RETENTION 0.0% · 9 STARS / WINDOW

Author Audience

AUDIENCE
779
FOLLOWERS
480
OWNER ★
2,989

Engagement Signals

FORKS
553
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 9 / 9 (DIVERSITY 1.00)

Why This Is A Finding

tkarim45/Beginner-Data-Science-Projects собрал 9 звёзд за окно, тогда как у автора всего 480 подписчиков — эффективная аудитория ≈ 779. Это даёт surprise-индекс 0.011 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 3194 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 48%
VELOCITY9.0010.00-1.00ABOVE 42%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS553176+377ABOVE 77%
SURPRISE0.010.02-0.01ABOVE 39%