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: about 1 year 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 (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-03-29T18:15:29.000Z (over 9 years ago)
- Last Synced: 2025-03-31T05:41:18.878Z (over 1 year ago)
- Topics: machine-learning, occupancy-detection, time-series, tpot
- Language: Jupyter Notebook
- Size: 335 KB
- Stars: 21
- Watchers: 4
- Forks: 18
- Open Issues: 2
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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+).