In this section, you're going to apply your knowledge of regression to a new dataset, called New York TLC. This dataset contains information of every taxi trip made in New York city during the month of December 2018.

You will use the skills you cultivated in the previous section, and apply them to this new dataset. You'll generate histograms and scatterplots, calculate the Pearson correlation matrix, design a data transformation pipeline, pick a learning algorithm, and then train and evaluate your regression model.