Predicting Taxi Tip using Scikit-Learn and Snap ML

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Create an AI model using Scikit-learn and Snap ML to calculate tip amounts for taxi, Uber, or Lyft rides. Build high-performance Decision Tree Regressor models with this IBM library for Machine Learning.

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At a Glance

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
    Predicting Taxi Tip using Scikit-Learn and Snap ML
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