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๐Ÿš€ House Price Prediction Project ๐Ÿก Developed at Prodigy Infotech: Predicting house prices using linear regression on square footage, bedrooms, and bathrooms. Tech Stack: Python, Pandas, Scikit-learn, Matplotlib. Dataset: Kaggle House Prices.

active 2024-07-06 โ†’ 2024-07-14 (UTC)

Complete coverage26,646 / 26,646 hourly files (100%) ยท 2 absent upstream2023-08-15 โ†’ 2026-08-29 (UTC)
Events
6
Pushes
1
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 9 days from 2024-07-06 to 2024-07-14. Pushes: 1 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: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments โ€” stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
codeTun1100

Recent activity

Latest issues, pull requests and releases

No issue or PR events โ€” this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals โ€” 1 stars here means stars gained during the window, not the repo's star count.