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Time-Series-Forecasting-Using-Recurrent-Neural-Networks

This Repository contains the generic notebooks for the experimental part of my Bachelors Thesis. Feel free to explore its content!

  • Folder Models: contains the various, generic notebooks used for the experiment.
  • Folder Data: contains the two datasets used for the experiment.

The metrics of the individual models were collected in Experiment Results spreadsheet.

Dataset

The datasets for this thesis were downloaded from www.tankerkoenig.de, and are licensed under the CreativeCommons BY 4.0 license.

Software

The experiments were performed under the following software releases:

  • Python 3.6
  • Jupyter Notebook 5.2.2
  • Anaconda 1.6.9
  • statsmodels 0.8.0
  • Tensorflow-gpu r1.4

LICENSE

MIT License

Copyright (c) 2018 Julian Weins

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.

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A Bachelors Thesis Project

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