Full Title:
Intro To Neo4j Graph Database And Data Science With Graph Algorithms And NLP (hands-on workshop!)
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CODE OF CONDUCT
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WiMLDS is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language & imagery is not appropriate.
Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment & sexist, racist, or exclusionary jokes are not appropriate.
Thank you for helping make this a welcoming, friendly community for all. All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct
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AGENDA
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6:00 to 6:30pm attendees arrive, set up computers
6:30 to 6:45pm NY Times info & careers presentation
6:45 to 8:00pm Neo4j presentation / workshop
8:00 to 8:30pm networking
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NOTE
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Please note that snacks will be provided *after 8pm* in a separate room from the workshop & that food is NOT allowed in the classroom. You may want to grab some food prior to the event.
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DESCRIPTION
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In this workshop we will introduce graph database concepts with a focus on using Neo4j for data science applications, specifically graph algorithms. We will learn the Cypher query language for querying graphs, using a dataset of businesses, users, & reviews. We will then see how to apply graph algorithms such as community detection, centralities, pathfinding & similarity metrics for applications such as personalized recommendations, identifying influencers, & routing. Finally, we will transition to using Python to interact with Neo4j, seeing how we can integrate Neo4j & graph algorithms into common Python data science tools such as Pandas, Matplotlib, & Textblob for NLP.
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PREPARATION
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Hardware:
Bring your laptop.
To participate in the workshop, install Neo4j Desktop prior to the workshop:
http://neo4j.com/download
We will be making use of Neo4j Desktop as well as Python notebooks which will be shared prior to the event. You can either run the Python notebooks:
1. locally with Jupyter: http://jupyter.org
OR
2. online through Google's Colaboratory hosted notebooks if you don't have Python/Jupyter installed locally:
https://colab.research.google.com/notebooks/welcome.ipynb
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INSTRUCTOR BIO
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William Lyon is a software engineer at Neo4j on the Developer Relations team where he focuses on building integrations with other technologies & Neo4j. He also leads the Neo4j Data Journalism Accelerator Program. Prior to joining Neo4j he worked as a software engineer for startups in the fintech, real estate software, & predictive analytics API fields. He has a masters degree in Computer Science from the University of Montana.
Website: https://www.lyonwj.com
LinkedIn: https://www.linkedin.com/in/lyonwj/
Twitter: https://twitter.com/lyonwj
