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PySpark MLlib tutorial

Tutorials python spark machinelearning data

If you’re familiar with Spark you probably know it offers a Python framework named PySpark that enables developers to use the existing Spark libraries.

I have released a tutorial of the Spark machine learning library (MLlib). This tutorial is not intended to explain any ML theory, although some theory can be found. The tutorial is more a collection of examples around how to manipulate data structures to feed the algorithms implemented by this library.

The corresponding Jupyter Notebook is available here. If you want to fork the repo:

git clone

Additionally, you can see the rendered version below.

Click here to view this notebook in full screen


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