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