In the notebook a HTM is implemented do disclose anomalies in temporal data. The data is about the number of people that enter and exit from a building.
In the project anaconda was used to managed the packages. Packages required:
- numpy
- pandas
- nupic(used 1.1.4)
- plotly(for the charts, not mandatory) It was used python 2.7.15 becaue nupic, the library to implement the HTM network not support newer version of Python.
The notebook was created using Jupyter Notebook installed using Anaconda.
This project is licensed under the GNU GENERAL PUBLIC LICENSE - see the LICENSE file for details