Created a regression model that predicts the travel time of a taxi ride in New York.
What I Learned from this project:
- The data science lifecycle: data selection and cleaning, EDA, feature engineering, and model selection.
- Using sklearn to process data and fit linear regression models.
- Embedding linear regression as a component in a more complex model.