Github Trends®
9558 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #4663 · UNIT ID 504209946
greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
[ JUPYTER NOTEBOOK ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00243
ENGAGEMENT0.54
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
4.67
ACCEL
-3.00
RETENTION
37.5%
PEAK 2026-08-26 · FORK-RETENTION 0.0% · 14 STARS / WINDOW

Author Audience

AUDIENCE
1,880
FOLLOWERS
888
OWNER ★
9,923

Engagement Signals

FORKS
3,730
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 14 / 14 (DIVERSITY 1.00)

Why This Is A Finding

greyhatguy007/Machine-Learning-Specialization-Coursera собрал 14 звёзд за окно, тогда как у автора всего 888 подписчиков — эффективная аудитория ≈ 1,880. Это даёт surprise-индекс 0.00243 (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 51%
VELOCITY4.675.67-1.00ABOVE 39%
RETENTION37.5%42.9%-5.4 PPABOVE 45%
FORKS3,730333+3,397ABOVE 90%
SURPRISE0.000.00-0.00ABOVE 40%