Github Trends®
9558 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #3313 · 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

SURPRISE0.00499
ENGAGEMENT0.69
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
4.33
ACCEL
-3.00
RETENTION
42.9%
PEAK 2026-08-26 · FORK-RETENTION 0.0% · 13 STARS / WINDOW

Author Audience

AUDIENCE
829
FOLLOWERS
506
OWNER ★
3,228

Engagement Signals

FORKS
582
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 13 / 13 (DIVERSITY 1.00)

Why This Is A Finding

tkarim45/Beginner-Data-Science-Projects собрал 13 звёзд за окно, тогда как у автора всего 506 подписчиков — эффективная аудитория ≈ 829. Это даёт surprise-индекс 0.00499 (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 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 65%
VELOCITY4.335.67-1.33ABOVE 35%
RETENTION42.9%42.9%0.0 PPABOVE 49%
FORKS582333+249ABOVE 61%
SURPRISE0.000.00+0.00ABOVE 53%