Created Embrace data nuances with K-means (markdown)

Embrace-data-nuances-with-K-means.md

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+# Event Information
+| Category | Details |
+|-----------|---------|
+| Workshop Active? | Yes |
+| Reactor Topic | Data Science and Machine Learning |
+| Location | In person and Virtual |
+| Workshop Level | Beginner |
+| Workshop Duration | 60 - 90 mins | 
+| Title | Embrace data nuances with K-means |
+| Description | What happens when you encounter large data sets that are more nuanced than a set of concrete numbers? When you begin to explore natural language, or data sets with many potential influential features, you require more complex and predictive machine learning models. In this session, learn about the models K-Means and Naive Bayes. We will be using Jupyter notebooks inside of VS Code.  |
+| Content Link | https://github.com/microsoft/Reactors/blob/main/workshop-resources/data-science-and-machine-learning/Machine_Learning_2/workshop-materials/190053-Reactors-DS-Tr2-Sec2-1-k-Means.ipynb |
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+Event Dates Run:
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+Here's an overview of what this workshop will cover and suggested agenda to follow with links and resources.
+
+## Workshop Agenda
+
+
+## Resources
+- TBD