Github Trends®
6892 findingsmedian surprise 0.0109window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: gharchive
FINDING #1916 · 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

SURPRISE0.0159
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
13.00
ACCEL
-0.64
RETENTION
76.3%
PEAK 2026-07-10 · FORK-RETENTION 0.0% · 91 STARS / WINDOW

Author Audience

AUDIENCE
779
FOLLOWERS
480
OWNER ★
2,989

Engagement Signals

FORKS
553
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 91 / 91 (DIVERSITY 1.00)

Why This Is A Finding

tkarim45/Beginner-Data-Science-Projects собрал 91 звёзд за окно, тогда как у автора всего 480 подписчиков — эффективная аудитория ≈ 779. Это даёт surprise-индекс 0.0159 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6892 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 72%
VELOCITY13.004.14+8.86ABOVE 79%
RETENTION76.3%40.6%+35.6 PPABOVE 92%
FORKS55389+464ABOVE 87%
SURPRISE0.020.01+0.00ABOVE 60%