https://github.com/rachamallayeswanthreddy/house-price-prediction-

A linear regression house price model estimates house values using features like bedrooms and location by fitting a line to training data. Simple yet effective, it's interpretable and predicts prices for new data, but may not capture all complexities in real-world data patterns.
https://github.com/rachamallayeswanthreddy/house-price-prediction-

Last synced: about 13 hours ago
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A linear regression house price model estimates house values using features like bedrooms and location by fitting a line to training data. Simple yet effective, it's interpretable and predicts prices for new data, but may not capture all complexities in real-world data patterns.

• Host: GitHub
• URL: https://github.com/rachamallayeswanthreddy/house-price-prediction-
• Owner: RachamallaYeswanthReddy
• Created: 2023-08-24T16:56:18.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-24T17:02:50.000Z (about 1 year ago)
• Last Synced: 2023-08-24T19:11:12.268Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 354 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# House-Price-Prediction-

A linear regression house price model estimates house values using features like bedrooms and location by fitting a line to training data. Simple yet effective, it's interpretable and predicts prices for new data, but may not capture all complexities in real-world data patterns.