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Predictive modeling is a statistical technique used to predict future outcomes. It involves the use of data and statistical algorithms to predict future trends, behavior, and actions. This type of modeling can be applied in many fields such as finance, insurance, marketing, and healthcare. This repository contains the predictive modeling techniques

active 2023-11-17 → 2024-03-28 (UTC)

Complete coverage27,930 / 27,930 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-21 (UTC)
Events
42
Pushes
26
Pull requests
5
Issues
5
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 133 days from 2023-11-17 to 2024-03-28. Pushes: 26 total, peak 6 in a day. Pull requests: 5 total, peak 2 in a day. Issues: 5 total, peak 2 in a day. Comments: 1 total, peak 1 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
mijanr372651

Recent activity

Latest issues, pull requests and releases

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.