marcusholmgren / taxi_demand_prediction

Machine Learning project that predicts taxi rides in New York City 🚕

Taxi demand prediction

Machine Learning project that predicts taxi rides in New York City 🚕

Marcus is working on a project to predict demand for taxis using time-series analysis and machine learning. His goal is to help taxi companies make more informed decisions about how many taxis to have on the road at any given time, and where to deploy them.

He is using data about past taxi rides, as well as other relevant factors such as weather, events, and traffic conditions, to train a machine learning model. The model will then be used to make predictions about future demand for taxis.

Marcus hopes that his work will help taxi companies to operate more efficiently, and ultimately to provide a better service to their customers.

Setup

This project uses conda to manage the environment. You can install miniconda here.

Install the dependencies from the conda environment:

conda env create -f environment.yml

Activate the environment:

conda activate taxi_demand_prediction

Deactivate the environment:

conda deactivate