What we're about

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

The PyData Code of Conduct (http://pydata.org/code-of-conduct.html)governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (+1 512-222-5449; leah@numfocus.org ) or the group organizer.

Upcoming events (1)

PyData Workshop Series - Hyperparameter Tuning

Work Nicer Coworking | Stephen Ave

For this session we will be running a hands-on workshop. Expect a brief introduction to the problem, followed by hacking time. Come prepared to code! For this session we will focus on hyperparameter tuning. - Skill level: Intermediate - Prerequisites: Basic proficiency in model development and evaluation - What to bring: Laptop and ample power. CPU only is fine - Libraries to install: scikit-learn, scikit-optimize, hyperopt, bayesian-optimization What we'll work on: - Implement grid + random search optimization - Optimize model using at least one Bayesian method - Compare & contrast tree of parzen estimators, Gaussian processes, regression trees - Experiment with popular libraries Space is limited in the venue, so please be mindful of your RSVPs. A good briefing can be found here https://towardsdatascience.com/a-conceptual-explanation-of-bayesian-model-based-hyperparameter-optimization-for-machine-learning-b8172278050f

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