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The project emphasizes the importance of structuring and cleaning data to remove inconsistencies, engineering meaningful features to capture spatial and temporal patterns, and applying machine learning algorithms like regression and tree-based models to achieve robust predictions for texi fare price

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Viraj-Mavani/taxi_fare_prediction_ml

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taxi_fare_prediction_ml

Download the New York city map data 'new-york-latest.osm.pbf' from Geofabrik

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The project emphasizes the importance of structuring and cleaning data to remove inconsistencies, engineering meaningful features to capture spatial and temporal patterns, and applying machine learning algorithms like regression and tree-based models to achieve robust predictions for texi fare price

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