This project aims to predict housing prices using Python and Jupyter Notebook.
- Python
- Jupyter Notebook
-
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This machine learning application predicts house prices using various algorithm models, selecting the most effective one. The implemented Flask web app facilitates user input for features like year, present price, and fuel type, providing a predicted selling price. The chosen model is based on a random forest regression algorithm.
rahulbhoyar1995/housing-prices-prediction-ml-project
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This machine learning application predicts house prices using various algorithm models, selecting the most effective one. The implemented Flask web app facilitates user input for features like year, present price, and fuel type, providing a predicted selling price. The chosen model is based on a random forest regression algorithm.
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