/Occupancy-Detection

Occupancy detection of an office room from light, temperature, humidity and CO2 measurements

Primary LanguageJupyter NotebookMIT LicenseMIT

Occupancy Detection

Occupancy detection of an office room from light, temperature, humidity and CO2 measurements using TPOT (A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming)

Required Packages

Python 2.7 is used during development and following libraries are required to run the code provided in the notebook:

  • TPOT
  • Scikit-Learn 0.18
  • Numpy
  • Matplotlib
  • Pandas

Dataset

The Occupancy Detection dataset used, can be downloaded from the following link.