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Accelerating ML at the Speed of Though?! It’s Pydata Copenhagen

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Hosted By
Anders B. and Prayson D.
Accelerating ML at the Speed of Though?! It’s Pydata Copenhagen

Details

Do you wish your ML feature engineering could happen at the speed of thought? Then come join us at Pydata Copenhagen! This will be the last Pydata Copenhagen of the year, so make sure you don't miss out!

Agenda:

18:00 - 18:45 Doors open

18:30 Pizza time!

19:00 Accelerating ML Prototyping: Leveraging HiPlot and Patsy for Feature Engineering at the Speed of Thought

— Prayson Wilfred Daniel, Principal Data Scientist at NTT Data Business Solutions

In this informative session at PyData Copenhagen, we explore the crucial impact of Exploratory Data Analysis (EDA) in the rapid prototyping of machine learning projects, tailored for data scientists and ML engineers.

The presentation focuses on HiPlot and Patsy, transformative tools that optimize the model building and diagnostic process. HiPlot excels in offering intuitive visualization capabilities, enabling an in-depth comprehension of data distributions and interrelationships.

Patsy, on the other hand, stands out for enabling feature engineering at the speed of thought, greatly accelerating this critical phase of model development. We bring these tools to life with a real-world example: predicting apartment prices in Copenhagen.

Participants will acquire practical insights into effective EDA techniques, grasp how to fast-track feature engineering, and learn to utilize these innovative tools for improving the accuracy of predictive models. This talk is an essential guide for those aiming to enhance their data science processes, from refining existing models to initiating new machine learning ventures.

20:00 More socializing, discussing/trying what we learned

Sponsors: We have to remember to thank our sponsors!

NumFocus for sponsoring the meetup.com costs

Special thanks to NTT Data Business Solutions for sponsoring the location and food

COVID-19 safety measures

Event will be indoors
The event host is instituting the above safety measures for this event. Meetup is not responsible for ensuring, and will not independently verify, that these precautions are followed.
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PyData Copenhagen
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