A Streamlit web application that predicts car purchase amount based on user financial details using a Random Forest Regressor and recommends cars within your predicted budget.
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Predicts Car Purchase Amount using Machine Learning
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Shows Model Performance Metrics (RΒ² Score, MSE)
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Interactive Streamlit UI
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Recommends Cars within Β±10% of Predicted Budget
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Uses Two Datasets: Customer Purchase Data & Car Price Data