Keywords: House, Price
The project aims to leverage deep learning techniques to predict house prices accurately. By analyzing a diverse set of real estate features, it seeks to create a robust model that can forecast property prices effectively. This predictive tool could aid both buyers and sellers in making informed decisions, contributing to a more transparent and efficient real estate market. The project highlights the potential of DL methods in providing insights into property valuation dynamics and market trends.
Aim
To Predict the Price of House Using DL Techniques
Objective
Build DL model for accurate house price prediction.
Train with housing data for reliable value estimation.
Validate model's effectiveness in providing price insights through DL techniques.
ANN Technique used
Jupyter, Google Collab
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