https://github.com/mdh266/NYCBuildingEnergyUse

Creating Regression Models Of Building Emissions On Google Cloud
https://github.com/mdh266/NYCBuildingEnergyUse

bokeh data-science energy-efficiency exploratory-data-analysis google-app-engine missing-data missing-values outlier-detection outlier-removal regression regression-models scikit-learn xgboost

Last synced: 3 months ago
JSON representation

Creating Regression Models Of Building Emissions On Google Cloud

• Host: GitHub
• URL: https://github.com/mdh266/NYCBuildingEnergyUse
• Owner: mdh266
• License: mit
• Created: 2017-03-23T19:11:56.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2023-05-01T13:48:28.000Z (over 1 year ago)
• Last Synced: 2024-04-15T20:31:27.225Z (7 months ago)
• Topics: bokeh, data-science, energy-efficiency, exploratory-data-analysis, google-app-engine, missing-data, missing-values, outlier-detection, outlier-removal, regression, regression-models, scikit-learn, xgboost
• Language: Jupyter Notebook
• Homepage: http://michael-harmon.com/blog/GreenBuildings1.html
• Size: 21 MB
• Stars: 18
• Watchers: 2
• Forks: 6
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• open-sustainable-technology - NYCBuildingEnergyUse - Predict the emission of greenhouse gases from buildings by looking at their age, and water consumption as well as other energy consumption metrics. (Consumption / Buildings and Heating)