Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
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Updated
Feb 23, 2024 - Python
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Predicting Citi Bike trip demand and analyzing need for bike rebalancing
Messages you after returning a Citi Bike.
Download your Citi Bike trip data.
Create a tableau story/dashboard showcasing visualizations and insights into the NYC Citi Bike service. Write analysis to support the visuals, and present them in a professional and visually appealing format.
Visualized usage of Citi Bike, a bicycle sharing system in New York City.
The purpose of the project was to use data from New York City's Citi Bike program and see if it would be possible to recreate the program in De Moines, Iowa using Python and Tableau.
Data Viz Project
Describes how the (private) Citi Bike API works
Predicting the number of bicycles for re-stocking outside subway stations in New York City at various hours of a day.
Add a description, image, and links to the citi-bike topic page so that developers can more easily learn about it.
To associate your repository with the citi-bike topic, visit your repo's landing page and select "manage topics."