/Workshop_TimeSeries

This is a repository concerning a time series case study of course Workshop Time Series com Mario FIlho.

Primary LanguageJupyter Notebook

Installations

The following packages (i.e., libraries) are necessary to successfully run this project on your local machine:

  1. python >=3.6
  2. numpy >= 1.19.2
  3. pandas >= 1.0.1
  4. matplotlib >= 3.1.3
  5. scikit-learn >= 0.20
  6. lightgbm >= 3.2.0

Project's Title:

This project is part of the Workshop Time Series com Mario Filho, in which a dataset from UCL Repository is studied. The goal is to learn the main characteristics of feature engineering in Time Series when making Machine Learning.

File Descriptions

  1. previsaodedemanda_vagner_v1.ipynb: the jupyter notebook of the project;
  2. previsaodedemanda_vagner_v1.pdf: the pdf of the project;

How to interact to interact with your project

Just download (or git-clone) this project and use it with anaconda :)

Licensing

MIT License

Copyright (c) 2021 Vagner Zeizer C. Paes

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Acknowledgements

Mario Filho Data Science is strongly acknowledged for the opportunity of learning on how to deal with time series in machine learning algorithms.

Author

  1. Vagner Zeizer Carvalho Paes

This project is part of the Workshop Time Series com Mario Filho.