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PlanetDestroyyer/House-Price-Prediction-using-Machine-Learning-in-Python

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Built a Python-based machine learning model for house price prediction, leveraging data preprocessing techniques and regression algorithms. Achieved high accuracy with an MAE of [mention MAE value here] and R-squared score of [mention R-squared value here], providing actionable insights for further improvements.

active 2024-02-112024-03-03 (UTC)

Partial coverage20,548 / 26,301 hourly files (78%) · 2 absent upstream · 5,750 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
6
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 22 days from 2024-02-11 to 2024-03-03. Pushes: 3 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
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  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
PlanetDestroyyer3300

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.