Github Trends®
9595 findingsmedian surprise 0.00815window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #4181 · 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.
[ JUPYTER NOTEBOOK ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00498
ENGAGEMENT0.46
FRESHNESS1.39
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
4.33
ACCEL
-0.00
RETENTION
40.3%
PEAK 2026-08-22 · FORK-RETENTION 47.6% · 130 STARS / WINDOW

Author Audience

AUDIENCE
829
FOLLOWERS
506
OWNER ★
3,234

Engagement Signals

FORKS
584
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 130 / 130 (DIVERSITY 1.00)

Why This Is A Finding

tkarim45/Beginner-Data-Science-Projects собрал 130 звёзд за окно, тогда как у автора всего 506 подписчиков — эффективная аудитория ≈ 829. Это даёт surprise-индекс 0.00498 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 47.6% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9595 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 56%
VELOCITY4.333.67+0.67ABOVE 56%
RETENTION40.3%24.6%+15.6 PPABOVE 80%
FORKS584115+469ABOVE 85%
SURPRISE0.000.01-0.00ABOVE 38%