Installing scikit-learn# There are different ways to install scikit-learn: Install the latest official release. This is the best approach for most users. It will provide a stable version and pre-built packages are available for most platforms. Install the version of scikit-learn provided by your operating system or Python distribution. This is a quick option for those who have operating systems or
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BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment. It provides JVM support, Spark cluster support, polyglot programming, interactive plots, tables, forms, publishing, and more. BeakerX supports: Groovy, Scala, Clojure, Kotlin, Java, and SQL, including many magics; Widgets for time-series plotting, tables, forms, and more (there are Python and JavaSc
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Itâs always tough to pick my favorite visualization projects. I mean, itâs a challenge to pick and rank your favorite anything really. So much depends on what you feel like at the time, and thereâs a lot of good work out there. Nevertheless, I gave it a go. These are my favorites for the year, roughly in order of favorite on down and based on use of data, design, and being useful. Mostly though, m
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