Predicting Taxi Tip using Scikit-Learn and Snap ML

Predicting Taxi Tip using Scikit-Learn and Snap ML

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Last updated on March 16, 2026 10:23 pm
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Boost your earnings as a taxi, Uber, or Lyft driver with our AI model. Learn how to use Scikit-learn and Snap ML to build Decision Tree Regressor models and accurately predict your tip amounts. Maximize your tips and drive towards success!

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Say you are driving a taxi, Uber, or Lift and want to figure out how much tip you would get for a ride. In this project, you will create an AI model to do just that. You will be using Scikit-learn and Snap ML, a high-performance IBM library for Machine Learning to build Decision Tree Regressor models.

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    Predicting Taxi Tip using Scikit-Learn and Snap ML
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