Melkeydev / time-series-prediction

Investigating novel ways to predict time-series and detect outliers

Home Page:https://www.georgeburry.com/time-series-xgb/

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Time-series prediction investigation

The aim of this project is to improve the prediction of time-series, several steps ahead, using novel machine learning approaches, in order to better anticipate outliers - for example, an anomaly on a balance sheet.

Installation

  1. Clone or download this repository to your computer.
  2. Install Jupyter Lab (pip install jupyterlab).
  3. cd to the directory of the repository.
  4. Launch Jupyter Lab using the following command: jupyter lab.
  5. The notebook can be opened and run inside Jupyter Lab window.

The required data is quite light so it has already been included in this repository.

About

Investigating novel ways to predict time-series and detect outliers

https://www.georgeburry.com/time-series-xgb/


Languages

Language:Jupyter Notebook 99.8%Language:Python 0.2%