Background and Problem Statement

Sweet Lift Taxi company has collected historical data on taxi orders at airports. To attract more drivers during peak hours, we need to predict the number of taxi orders for the next hour.

Metric of Success

A model that predicts the number of taxi orders for the next hour with a RMSE not be more than 48

Solution Steps

1. Import libraries
2. Load and explore data
3. Data analysis
4. Data preparation
5. Modelling: we'll train different models
6. Evaluation
7. Summary of findings & recommendations
8. Challenging the solution

Dataset Url: https://bit.ly/3p1QPAv