WEBVTT

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- [Instructor] Before we get started,

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let's go over some of the background knowledge

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that you should have

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in order to get the most out of this course.

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First, I assume that you have a fundamental understanding

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of what machine learning is,

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specifically unsupervised machine learning.

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If you don't, I recommend

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that you review my introductory LinkedIn learning course

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"Machine Learning with Python: Foundations."

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Second, it will be helpful

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if you have some entry level knowledge coding in Python.

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I will assume that you know how to import a Python package,

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refer to the attributes of an object,

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and call the methods of an object.

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Next, it will also be helpful

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if you have some familiarity with the pandas

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and scikit-learn packages.

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If you don't, no worries,

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I will explain exactly what I'm doing

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when we do use these packages in the course.

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Finally, I do assume that you know how to use

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the Jupyter Notebook interactive Python environment.

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Specifically, I assume that you know

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how to create a code cell,

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as well as how to edit and run code within a code cell.