nirdesh17/House-Price-Prediction
This project demonstrates the application of machine learning techniques to predict house prices based on various features. By analyzing the dataset, preprocessing the data, and selecting an appropriate model, we were able to achieve a high level of accuracy in predicting house prices. The trained model can be further refined and deployed.
This project helps real estate analysts and investors estimate house prices accurately. By taking detailed property information like size, location, and features, it processes the data and generates predicted house prices. Real estate professionals can use this to quickly assess property values.
No commits in the last 6 months.
Use this if you need to predict house prices based on various property features and want to leverage an existing machine learning model.
Not ideal if you're looking for a user-friendly application for direct property appraisals without any technical setup.
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9
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Jupyter Notebook
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Last pushed
Apr 29, 2024
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