Data Science and Machine Learning Series: Principal Component Analysis

Join us this on Tuesday, October 27th, at 6 pm PDT to learn about Principal Component Analysis (PCA) in data science and how to use it in Python! PCA is a nifty process used in machine learning applications like categorizing genetic pathways, facial recognition feature decomposition, financial model feature decomposition, and more! No prior data science experience required!

Oct 28, 2020, 1:00 – 2:30 AM

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About this event

Join us this on Tuesday, October 27th, at 6 pm PDT to learn about Principal Component Analysis (PCA) in data science and how to use it in Python!

PCA is a nifty process used in applications like categorizing genetic pathways, facial recognition feature decomposition, financial model feature decomposition, and more!

No prior data science experience required, but some basic knowledge of python would help

Organizers

  • Rey Sanayei

    GDSC Lead

  • MohammadHossein Rezaei

    Tech Lead

  • Genesis Elizabeth Benedith

    Marketing Specialist

  • Adrianna Shingyi Koppes

    Tech Lead

  • David McLain

    Tech Associate

  • Maya Kulkarni

    Marketing Specialist

  • Aniedi Udo-Obong

    Regional Leader

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