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Tanzid21/Amazon_Prime_Optimization

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This project focuses on analyzing Amazon Prime Video's content library to optimize audience engagement and satisfaction. By identifying trends in genres, ratings, content types, and geographical preferences, the project aims to provide data-driven recommendations.

active 2025-01-05 → 2025-01-05 (UTC)

Complete coverage27,443 / 27,443 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-01 (UTC)
Events
10
Pushes
8
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-01-05 to 2025-01-05. Pushes: 8 total, peak 8 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Tanzid218800

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.