https://github.com/radhikareddy-chintareddy/exploratory-data-analysis-and-regression-for-property-pricing
This project analyzes property listing data to uncover trends and predict property prices using regression modeling. Key steps include exploratory data analysis (EDA), data cleaning, multicollinearity checks, and model evaluation using metrics like RMSE.
https://github.com/radhikareddy-chintareddy/exploratory-data-analysis-and-regression-for-property-pricing
data-visualization exploratory-data-analysis python regression-analysis rmse-score statistical-analysis
Last synced: 2 months ago
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This project analyzes property listing data to uncover trends and predict property prices using regression modeling. Key steps include exploratory data analysis (EDA), data cleaning, multicollinearity checks, and model evaluation using metrics like RMSE.
- Host: GitHub
- URL: https://github.com/radhikareddy-chintareddy/exploratory-data-analysis-and-regression-for-property-pricing
- Owner: Radhikareddy-chintareddy
- Created: 2025-01-14T23:17:37.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-01-14T23:54:15.000Z (5 months ago)
- Last Synced: 2025-01-31T13:18:28.021Z (4 months ago)
- Topics: data-visualization, exploratory-data-analysis, python, regression-analysis, rmse-score, statistical-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 3.52 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0