Time Series Analysis Repository This repository contains Python code for performing time series analysis using various techniques such as ARIMA, SARIMA, VAR, etc. The purpose of this repository is to provide a starting point for anyone interested in learning or applying time series analysis to their data.
To get started with this repository, you can either clone or download the repository. Once you have the repository, you can open it in your preferred Python editor such as PyCharm or Jupyter Notebook.
This repository has the following dependencies:
- Python 3.x
- NumPy
- Pandas
- Matplotlib
- Statsmodels
This repository provides examples of how to use various time series analysis techniques on sample datasets. You can follow along with the examples provided in the Jupyter Notebooks in the "examples" folder.
Contributions to this repository are welcome! If you would like to contribute, please fork the repository and create a pull request. Make sure to follow the repository's coding style and guidelines.
This repository is licensed under the MIT License. See the LICENSE file for more information.