/Singapore_Airlines_Challenge_Project

Full stack live data plotting of L2 regularized machine learning prediction with real LBNL Building 74 IoT data on D3.js frontend and Python Flask server + SQL database backend for informing live operation of Singapore Airlines building LED-light energy usage.

Primary LanguageJupyter Notebook

Singapore_Airlines_Challenge_Project

Full stack live data plotting of L2 regularized machine learning prediction with real LBNL Building 74 IoT data on D3.js frontend and Flask server + SQL database backend for informing live operation of Singapore Airlines building LED-light energy usage.