[Online] Machine learning visualization using Yellowbrick

## How to join the webinar:

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https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

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Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
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Time
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16:00 UTC
9 am PT / 12 pm ET / 7 pm EAT / 9:30 pm IST

## Speaker

Kavengi kitonga

## Talk Level

Beginner

## Pre-reqs

Knowledge of fitting linear models in python

## Prep Work

Have Yellowbrick installed to follow along.
Instructions to install: https://github.com/DistrictDataLabs/yellowbrick#installing-yellowbrick

## Resources

Yellowbrick quickstart: https://www.scikit-yb.org/en/latest/quickstart.html

## Event

Yellowbrick is a very convenient Python library for creating visualizers within the machine learning workflow. With just a few lines of code, a wide range of visualizers can be generated for various stages of the ML process; paying homage to the adage “a picture is worth a thousand words”. In this session, we shall briefly introduce the Yellowbrick library and explore the range of visualizers. Then we shall delve into a practical machine learning classification problem and create classification visualizers using the Yellowbrick library. Save the date for this insightful session!

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