Building a machine learning model that can accurately predict taxi fares based on historical data.
This can be useful for businesses in the transportation industry that want to optimize pricing and improve revenue forecasting.
By leveraging Big Query ML's forecasting capabilities, businesses can train and deploy models quickly and efficiently, allowing them to make data-driven decisions and improve their bottom line.
Additionally, this project can serve as an introduction to Big Query ML and its capabilities for those who are interested in learning more about machine learning and data analysis.
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