MYoussef885 / House_Price_Prediction

The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, and XGBoost, this project provides an end-to-end solution for accurate price estimation.

Date Created 2023-09-14 (about a year ago)
Commits 4 (last one about a year ago)
Stargazers 26 (0 this week)
Watchers 1 (0 this week)
Forks 14
License unknown
Ranking

RepositoryStats indexes 629,376 repositories, of these MYoussef885/House_Price_Prediction is ranked #616,446 (2nd percentile) for total stargazers, and #555,026 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #18,391/18,947.

MYoussef885/House_Price_Prediction is also tagged with popular topics, for these it's ranked: python (#23,030/23319),  machine-learning (#8,280/8374),  data-science (#2,193/2211),  numpy (#558/565),  sklearn (#131/133)

Star History

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Watcher History

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Recent Commit History

4 commits on the default branch (main) since jan '22

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Issue History

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Languages

The only known language in this repository is Jupyter Notebook

Jupyter NotebookJupyter Notebook

updated: 2025-03-19 @ 03:01pm, id: 691681873 / R_kgDOKTo6UQ