Furqs92 / Python-D.C-BikeSharing-Forecast

Prediction of number of users that will rent D.C. Bikesharing's bikes in the 4th quarter of 2012

Python_group_project

Washington DC Biking data

Libraries

• seaborn
• gplearn
• pep8
• astral
• plotly
• xgboost

Note: You can find updated env file is in the repo

To install to environment

conda install --name intro_python seaborn

Please note that the graphs can be seen in the HTML