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# Model Summary
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This project analyzes Uber and Lyft ride data to understand price patterns, build predictive models, and convert the problem from regression to classification.
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I begin with data cleaning and exploratory analysis, move to regression modeling with engineered features, and finally reframe price prediction into a multiclass classification task.
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<source src="https://huggingface.co/Idankhen/Winning_Model/raw/main/README.md%20路%20Idankhen_Winning_Model%20at%20main%20-%206%20December%202025.mp4" type="video/mp4">
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# Model Summary
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This project analyzes Uber and Lyft ride data to understand price patterns, build predictive models, and convert the problem from regression to classification.
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I begin with data cleaning and exploratory analysis, move to regression modeling with engineered features, and finally reframe price prediction into a multiclass classification task.
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