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tsfresh — tsfresh 0.20.3.post0.dev10+ga15b8fa documentation
Find detailed documentation and guides for tsfresh, a Python package for automated time series feature extraction and analysis in machine learning tasks.
Explore time series feature extraction in Python
This site is the official documentation hub for tsfresh, a Python library that helps you automatically extract meaningful features from time series data. Whether you’re working on machine learning classification or regression tasks, tsfresh provides tools to calculate and evaluate a wide variety of time series characteristics.
Here, you’ll find easy-to-follow guides, quick start tutorials, and in-depth explanations of tsfresh’s core features. The documentation covers everything from setting up the package to customizing feature extraction and integrating with scikit-learn workflows. It’s a helpful resource for data scientists, developers, and anyone interested in time series analysis.
If you want to dig deeper, there are sections on handling large datasets, parallelization, and even adding your own custom features. With clear navigation and practical examples, this site makes it straightforward to get the most out of tsfresh for your next data project.
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