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cprathamesh1997/Smart-Predictive-Modeling-for-Rental-Property-Prices

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In the real estate industry, determining the appropriate rental price for a property is crucial for property owners, tenants, and property management companies. Accurate rent predictions can help landlords set competitive prices, tenants make informed rental decisions, and property management companies optimize their portfolio management.

active 2024-02-08 → 2024-02-08 (UTC)

Complete coverage27,500 / 27,500 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-03 (UTC)
Events
5
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-02-08 to 2024-02-08. Pushes: 3 total, peak 3 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
cprathamesh19973300

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.