Regression Basics: Logistical & Linear Models

Nov 16, 5:30 – 7:30 PM

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RSVPs

The Regression basics workshop is aimed at providing a basic understanding of the fundamentals of logistic and linear regression in machine learning. Using the Sckit-Learn library, participants will be able to gain insights into the concepts and applications of these powerful modeling techniques. Presented by the Data Science committee from AIS ´͈ ᵕ `͈ 💙

Computer ScienceData Science

About this event

The Regression basics workshop is aimed at providing a basic understanding of the fundamentals of logistic and linear regression in machine learning. Using the Sckit-Learn library, participants will be able to gain insights into the concepts and applications of these powerful modeling techniques. Presented by the Data Science committee from AIS ´͈ ᵕ `͈ 💙

Registration for this meetup is closed.
Please contact the meetup organizer for assistance.

Organizers

  • Efaz Ahmed

    Baruch AIS

    Chapter Leader

  • Harry Zekkas

    Chapter Leader

  • Natalia Kurbakova

    Baruch AIS

    Chapter Leader

  • Jia Huang

    Chapter Leader

  • Ariadna Torres

    Director of Software Engineering

  • Laert Dema

    Director of Cybersecurity

  • Daria Khotunitskaya

    Director of Data Science

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