OM DENNE EPISODE

Engelsk
USA

UDSKRIFT 🔗

SØG BLANDT TIDLIGERE EPISODER

Søg efter gamle afsnit af Open Source Directions hosted by OpenTeams.

ANDRE EPISODE I DENNE PODCAST

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…

Episode 34: Stumpy

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) dis…
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. Listen to the Episode! Download
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. …
Ansvarsfraskrivelse: Podcasten og kunstværket, der er indlejret på denne side, er fra Quansight, LLC, som tilhører dens ejer og ikke er tilknyttet eller godkendt af Listen Notes, Inc.