The classification folder contains code and examples for time-series classification using classical machine learning algorithms, deep learning models, and hybrid models.
The clustering folder contains code and examples for time-series clustering using unsupervised machine learning algorithms, such as k-means and hierarchical clustering.
The prediction folder contains code and examples for time-series prediction using classical machine learning algorithms, deep learning models, and hybrid models.
The code in this repository is written in Python and requires the following dependencies:
- numpy
- pandas
- matplotlib
- scikit-learn
- tslearn
- PyTorch
If you would like to contribute to this repository, please fork the repository and create a pull request with your changes.