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Stephen137/customer_lifetime_value

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Transformation of complex Google Merchandise Store BigQuery raw dataset, into business insights and actionable marketing outcomes using SQL and pandas. Baseline XGBoost regression and classification models to predict customer spend. Explore Dash app from link below.

active 2024-01-29 → 2024-05-20 (UTC)

Complete coverage28,151 / 28,151 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-30 (UTC)
Events
3
Pushes
2
Pull requests
0
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 113 days from 2024-01-29 to 2024-05-20. Pushes: 2 total, peak 1 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
Stephen1372200

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.