https://github.com/aqibsaeed/occupancy-detection

Occupancy detection of an office room from light, temperature, humidity and CO2 measurements
https://github.com/aqibsaeed/occupancy-detection

machine-learning occupancy-detection time-series tpot

Last synced: 4 days ago
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Occupancy detection of an office room from light, temperature, humidity and CO2 measurements

• Host: GitHub
• URL: https://github.com/aqibsaeed/occupancy-detection
• Owner: aqibsaeed
• License: mit
• Created: 2016-10-11T21:24:20.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2017-03-29T18:15:29.000Z (over 7 years ago)
• Last Synced: 2024-05-21T07:49:30.413Z (6 months ago)
• Topics: machine-learning, occupancy-detection, time-series, tpot
• Language: Jupyter Notebook
• Size: 335 KB
• Stars: 20
• Watchers: 4
• Forks: 18
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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](https://github.com/rhiever/tpot)

* Scikit-Learn 0.18

* Numpy

* Matplotlib

* Pandas

### Dataset

The Occupancy Detection dataset used, can be downloaded from the following [link](http://archive.ics.uci.edu/ml/datasets/Occupancy+Detection+).