Update README.md

README.md

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-Edit this `README.md` markdown file to author your organization card.
+<img src="https://www.datawaza.com/en/latest/_static/datawaza_logo_name_trans.svg" alt="datawaza_logo_name_trans.svg" width="300"/>
+
+[Datawaza](https://github.com/jbeno/datawaza) streamlines common Data Science tasks. It's a collection of tools for data exploration, visualization, data cleaning, pipeline creation, hyper-parameter searching, model iteration, and evaluation. It builds upon core libraries like [Pandas](https://pandas.pydata.org/), [Matplotlib](https://matplotlib.org/), [Seaborn](https://seaborn.pydata.org/), and [Scikit-Learn](https://scikit-learn.org/stable/).
+
+## Installation
+
+The [latest releases](https://pypi.org/project/datawaza/) can be found on PyPi. Install Datawaza with pip::
+
+```
+pip install datawaza
+```
+
+See the [Change Log](https://github.com/jbeno/datawaza/blob/main/CHANGELOG.md>) for a history of changes.
+
+## User Guide
+
+[User Guide](https://www.datawaza.com/en/latest/userguide.html) is a Jupyter notebook that walks through how to use the Datawaza functions. It's probably the best place to start, and then you can reference the function specs organized by module above.
+
+## Source Code
+
+You can find the [Datawaza repo](https://github.com/jbeno/datawaza/) on Github. Please submit any issues there. It's distributed under the GNU General Public License. Contributions are welcome!
+
+## What is Waza?
+
+Waza (技) means "technique" in Japanese. In martial arts like Aikido, it is paired with words like "suwari-waza" (sitting techniques) or "kaeshi-waza" (reversal techniques). So we've paired it with "data" to represent Data Science techniques: データ技 "data-waza".
+
+## Origin Story
+
+Most of these functions were created while I was pusuring a [Professional Certificate in Machine Learning & Artificial Intelligence](https://em-executive.berkeley.edu/professional-certificate-machine-learning-artificial-intelligence) from U.C. Berkeley. With every assignment, I tried to simplify repetitive tasks and streamline my workflow. They served me well, so I'm publishing this library in the hope that it may help others.