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STUMPY is a powerful and scalable library that efficiently computes something called the matrix profile, which can be used for a variety of time series data mining tasks such as: pattern/motif (approximately repeated subsequences within a longer time series) discovery, anomaly/novelty (discord) discovery, shapelet discovery, semantic segmentation, density estimation, time series chains (temporally ordered set of subsequence patterns), and more!
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BU PODCAST'IN DİĞER BÖLÜMLERİ
Bokeh is an interactive visualization library for modern web browsers.
It provides elegant, concise construction of versatile graphics, and
affords high-performance interactivity over large or streaming datasets.
Bokeh can help anyone who would like to quickly and easily make interactive
plots, das…
Originally a port of the R package, pyjanitor has evolved from a set of convenient data cleaning
routines into an experiment with the method chaining paradigm. Data preprocessing usually consists
of a series of steps that involve transforming raw data into an understandable/usable format.
…
Lale is a Python library for semi-automated data science. Lale makes it easy to
automatically select algorithms and tune hyperparameters of pipelines that are
compatible with scikit-learn, in a type-safe fashion. If you are a data scientist
who wants to experiment with automated machine learning, t…
Jupyter Book lets you build an online book using a collection of
Jupyter Notebooks and Markdown files. Its output is similar to the
excellent Bookdown tool, and adds extra functionality for people
running a Jupyter stack.
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