Github Trends®
2987 findingsmedian surprise 0.00082window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #988 · 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

SURPRISE0.00219
ENGAGEMENT0.54
FRESHNESS1.38
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
11% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
1.79
ACCEL
+0.00
RETENTION
5.4%
PEAK 2026-03-29 · FORK-RETENTION 74.2% · 323 STARS / WINDOW

Author Audience

AUDIENCE
779
FOLLOWERS
480
OWNER ★
2,989

Engagement Signals

FORKS
553
ISSUE AUTH
0
PR AUTH
1
UNIQUE STARGAZERS 322 / 323 (DIVERSITY 1.00)

Why This Is A Finding

tkarim45/Beginner-Data-Science-Projects собрал 323 звёзд за окно, тогда как у автора всего 480 подписчиков — эффективная аудитория ≈ 779. Это даёт surprise-индекс 0.00219 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 74.2% и 1 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 2987 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 67%
VELOCITY1.792.84-1.05ABOVE 18%
RETENTION5.4%6.8%-1.5 PPABOVE 41%
FORKS5531,068-515ABOVE 34%
SURPRISE0.000.00+0.00ABOVE 68%