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Utilizing TensorFlow, this project predicts house prices by analyzing features like square footage and location. Through data preprocessing and deep learning techniques, a regression model is trained and evaluated for accuracy. It offers a concise demonstration of TensorFlow's efficacy in real estate forecasting.

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PlanetDestroyyer/House-Price-Prediction-TensorFlow

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House-Price-Prediction-TensorFlow

TensorFlow is an open-source machine learning framework developed by Google. It provides a comprehensive ecosystem of tools, libraries, and resources for building and deploying machine learning models. TensorFlow supports various tasks such as deep learning, neural networks, reinforcement learning, and more. It's widely used in both research and production environments due to its flexibility, scalability, and extensive community support. Utilizing TensorFlow, this project predicts house prices by analyzing features like square footage and location. Through data preprocessing and deep learning techniques, a regression model is trained and evaluated for accuracy. It offers a concise demonstration of TensorFlow's efficacy in real estate forecasting.

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Utilizing TensorFlow, this project predicts house prices by analyzing features like square footage and location. Through data preprocessing and deep learning techniques, a regression model is trained and evaluated for accuracy. It offers a concise demonstration of TensorFlow's efficacy in real estate forecasting.

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