Public sample Data files
FareCAST: Predicting Uber Ride Fares with Machine Learning
The Uber Fares Dataset table contains 200,000 rows and 10 columns, including information such as fare amount, pickup and dropoff locations, and passenger count. This dataset can be used to analyze and understand Uber fares, identify patterns in pickup and dropoff locations, and explore the relationship between fare amount and other variables.
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