ML Study Jam Session 3: Deep Dive into ML

After learning some core concepts of Pandas and building our first Machine learning Model in the last session, let's continue our ML journey by exploring some Intermediate Machine Learning concepts and Feature Engineering this week. ğŸŽ¯ Click on the RSVP link and register for this upcoming session!

May 28, 2022, 11:30 AM – 1:30 PM

30
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Key Themes

Machine Learning

About this event

Let’s get deeper into our journey of Machine Learning with Kaggle:

🔹Intermediate Machine Learning:

Handle missing values, non-numeric values, data leakage, and more.

[https://bit.ly/Intermediate-Machine-Learning]

🔹Feature Engineering :

Better features make better models. Discover how to get the most out of your data.

[https://bit.ly/Feature-Engineering]

Speaker

  • Zahra Dehghan

    GDSC TCOER

    Mentor

Organizers

  • Yash Gangan

    GDSC Lead

  • Omkar Mahangare

    Web Development Lead

  • Soham Thodge

    Trinity college of engineering and research

    Cloud Computing Lead

  • Ratnapal Shende

    Android Development Lead

  • Yadnit Kale

    Competitive Programming Lead

  • C-33 Sakshi Mavalkar

    Design & Content Lead

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