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Theofilusarifin/Predict-Customer-Personality-To-Boost-Marketing-Campaign-By-Using-Machine-Learning

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In today's competitive business landscape, understanding customer behavior is paramount for marketing success. By gaining insights into customers' unique personality traits and preferences, companies can tailor their strategies to boost engagement and conversion rates.

active 2024-02-13 → 2024-02-23 (UTC)

Complete coverage27,264 / 27,267 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-24 (UTC)
Events
18
Pushes
6
Pull requests
8
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 11 days from 2024-02-13 to 2024-02-23. Pushes: 6 total, peak 4 in a day. Pull requests: 8 total, peak 4 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
Theofilusarifin14680

Recent activity

Latest issues, pull requests and releases

  • Pull request#4Theofilusarifin2024-02-23 14:32
  • Pull request#4Theofilusarifin2024-02-23 14:32
  • Pull request#3Theofilusarifin2024-02-19 13:30
  • Pull request#3Theofilusarifin2024-02-19 13:29
  • Pull request#2Theofilusarifin2024-02-19 13:21
  • Pull request#2Theofilusarifin2024-02-19 13:21
  • Pull request#1Theofilusarifin2024-02-13 03:30
  • Pull request#1Theofilusarifin2024-02-13 03:30

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.