Skip to content

Nfayem/TS_Forecasting

View on GitHub ↗Related repositories →

he grocery retail sector is highly competitive, making optimal stock levels and accurate demand forecasting essential for efficiency and customer satisfaction. This project uses advanced machine learning models to forecast product demand for Corporation Favorita, a leading grocery retailer in Ecuador.

active 2024-07-11 → 2024-10-15 (UTC)

Complete coverage28,504 / 28,504 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-14 (UTC)
Events
23
Pushes
12
Pull requests
0
Issues
0
Stars
0
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 97 days from 2024-07-11 to 2024-10-15. Pushes: 12 total, peak 2 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
Nfayem121200

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.