Progressing With Regression

1. Quick recap from previous session. 2. Introduction to regression in supervised learning. 3. Discussing the mathematical aspect of linear regression and relevant theory. 4. Regression problem on advertising dataset and relevant model selection in sci-kit learn. 5. Discussion on graphing for data visualization. (using seaborn library). 6. Q&A.

Dec 12, 2021, 5:30 โ€“ 8:30 AM

41
RSVP'd

RSVP Now

Key Themes

Machine Learning

About this event

1. Quick recap from previous session.

2. Introduction to regression in supervised learning.

3. Discussing the mathematical aspect of linear regression and relevant theory.

4. Regression problem on advertising dataset and relevant model selection in sci-kit learn.

5. Discussion on graphing for data visualization. (using seaborn library).

6. Q&A.

Speaker

  • Aryan Pareek

    Techno India University

    ML Facilitator

Facilitator

  • Rupam Paul

    Techno India University

    Machine Learning Facilitator

Organizers

  • Subhranil Paul

    GDSC Lead

  • Gourav Ghosal

    Dynopii Inc.

    Ex Community Lead

  • Aryan Pareek

    Research @DRDO

    Ex AI ML facilitator

  • Pranit Das

    Flutter Facilitator

  • Souradeep Bhattacharya

    Web facilitator

  • Arnab Chatterjee

    Senior Core Team Member

  • Lagnajit Ghosh

    Senior Core Team Member

  • Ahili Ojha

    Core Member

  • Adrita Basu

    Core Member

  • ASHOKE MAITY

    Core Member

  • Debarati Biswas Biswas

    Core Member

  • mriganka Debnath

    Core Member

  • Neela Das

    Core Member

  • Priyanka Podder

    Techno India University

    Core Member

  • Sanket Sur

    Techno India University

    Core Member

  • Swarnadip Das Gupta

    None

    Core Member

  • Raunak Das

    Core Member

  • Soumyabrata Dey

    Core Member

  • Soumyadeep Das

    Core Member

Contact Us