Predicting Tips for New York City Taxi drivers
This project intends to build a machine learning model to predict the tip amount for the taxi drivers of New York City. This is the original data source. The corresponding data dictionary can be found here.
The analysis is organized in 3 different notebooks. You will find all the steps and actions taken documented inside each notebook:
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Data Exploration and Cleaning: This notebook presents an initial exploration of the data set, cleaning the possible issues and removing outliers.
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Data Summary: This is a brief report summarizing important data trends. It is targeted to a team of data sciencists.
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Model Building: This notebook implements and evaluates 2 different machine learning models.
