[python-events] DC Python Meetup Event on 2/25
Lauren Alexander
lauren at hatchit.io
Thu Jan 30 16:43:08 EST 2020
Hello,
If possible I'd like to share an event on the Python Events Calendar.
Name of the event: Visual Diagnostics for Machine Learning with Python
Type of event: Event by the DC Python Meetup
Focus on Python/ Talk Abstract:
Doing machine learning with Python has never been easier. So... why is it still so hard?
Machine learning is a search for the best combination of features, algorithm, and hyperparameters across an infinite search space. It's rarely a linear process and often fraught with false starts, pivots, and do-overs. While it can be tempting to double down on gridsearch, research and experience alike suggest that human steering allows us to be more strategic in our model selection choices.
In this talk we'll explore techniques from the open source Python machine learning diagnostics library Scikit-Yellowbrick that can help make machine learning more informed. For data scientists, Yellowbrick helps evaluate the stability and predictive value of machine learning models and improves the speed of the experimental workflow. For data engineers, Yellowbrick provides visual tools for monitoring model performance in real world applications. For users of models, Yellowbrick provides visual interpretation of the behavior of the model in high dimensional feature space. During the talk we'll explore how visual diagnostic tools like correlation matrices, radial visualizations, manifold embeddings, validation and learning curves, residuals plots, classification heatmaps, and more can provide visceral cues that enable us to identify better models, faster, and at lower cost to our organizations.
Approximate number of attendees: 50-60
Location (incl. country): 1440 G Street Northwest, Washington, DC, United States
Dates/times/recurrence (incl. time zone): Tuesday, February 25th, from 6:00 PM - 8:00 PM. EST Time.
HTML link using the format <a href=" https://www.meetup.com/dcpython/events/267989837/"> Visual Diagnostics for Machine Learning with Python</a>:
Please let me know if you need any more details!
Cheers,
[photo]
Lauren Alexander
Community Engagement Specialist, hatch I.T.
571-368-4279<mailto:571-368-4279> | lauren at hatchit.io<mailto:lauren at hatchit.io>
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