Predicting Seoul Bike Rentals

In this project I will analyze data related to bike rentals in Seoul, South Korea. My aim is to apply machine learning algorithms to help predict rental counts. On top of that, I hope to create aesthetically pleasing visualizations that help make my findings easier to understand and digest.

Goals For This Project:

• Import and explore the dataset
• Clean and analyze the data, and create any new or helpful features
• Visualize any interesting patterns or relationships
• Find out what has the biggest effect on bike rentals
• Train three different machine learning models
• Evaluate them to see which one is the best at predicting the amount of bikes rented

To view the notebook, click on the .ipynb file above, or view it here.