The goal of this project is to explore features of a taxi trip that will be used to train a linear regression model to predict the tips of a taxi trip. Given the total distance traveled, the trip duration and the trip fare, can we predict how much tips a customer will spend in a trip. Since described in the original dataset, if the customer pays cash, the tips may not be recorded in the dataset. Thus, we will predict the tips that were paid by cash and have left as zero in the dataset.
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AsmaEman/DB2018L_TaxiFaresPrediction_2021
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