Github Trends®
9721 findingsmedian surprise 0.00633window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #5444 · 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

SURPRISE0.00255
ENGAGEMENT0.44
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
4.86
ACCEL
-0.32
RETENTION
29.5%
PEAK 2026-08-06 · FORK-RETENTION 20.0% · 34 STARS / WINDOW

Author Audience

AUDIENCE
1,869
FOLLOWERS
885
OWNER ★
9,835

Engagement Signals

FORKS
3,725
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 34 / 34 (DIVERSITY 1.00)

Why This Is A Finding

greyhatguy007/Machine-Learning-Specialization-Coursera собрал 34 звёзд за окно, тогда как у автора всего 885 подписчиков — эффективная аудитория ≈ 1,869. Это даёт surprise-индекс 0.00255 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 20.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9721 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 44%
VELOCITY4.863.43+1.43ABOVE 61%
RETENTION29.5%32.1%-2.6 PPABOVE 45%
FORKS3,725130+3,595ABOVE 97%
SURPRISE0.000.01-0.00ABOVE 29%