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This is paid ($49) online hands-on workshop, with multiple sessions. the time is at US pacific timezone, please check the website for details.
https://learn.xnextcon.com/course/coursedetails/C19030510

In this workshop, you will learn about widely used dimension reduction methods such as PCA, ICA, t-SNE, and UMAP. You will learn how to explore them to reduce dimensionality of your data in Python, how to use methods like PCA in supervised learning schemes and how to improve your reports using visualization techniques like t- SNE. This will be a hands on workshop in which we will work on multiple datasets and will learn how to implement each one of the aforementioned methods on them in Python

*you can listen, watch, Q&A with speakers from anywhere around the world.

  • 8 topics in 4 hours (2 sessions and 2 hours/session).
    *Real-time interactions with instructors, Watch recorded videos any time after.
    *code labs, projects, and real-time discussion/Q&A on Slack group

COURSE SCHEDULE:
*Session 1: Mar. 5th Tue 10am-12pm PST
*Session 2: Mar. 7th Thu 10am-12pm PST

For more online AI tech talks, courses, bootcamps :https://learn.xnextcon.com

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