Data Science Study Jam: Dive to Machine Learning Part 2

Mar 1, 2025, 9:30 – 11:00 AM (UTC)

18 RSVP'd

Key Themes

Tech Talk / Meetup

About this event

Join our Study Jam to dive into Machine Learning Essentials!

In this session, we’ll cover:

1. Overfitting & Underfitting – Understand the common pitfalls in machine learning models and how to balance bias and variance for optimal performance.

2. Making Better Predictions – Learn techniques to improve model accuracy, including cross-validation, hyperparameter tuning, and performance evaluation metrics.

3. Exploring Machine Learning Models – Get familiar with different types of machine learning models, from linear regression to deep learning, and understand their strengths and use cases.

4. Feature Engineering – Discover how to create and transform features to enhance model performance and extract meaningful insights from data.

Whether you're a beginner or looking to refine your skills, this Study Jam is the perfect opportunity to strengthen your machine learning foundation! 🚀

Organizers

  • Wida Putri Kinasih

    Supervisor

  • amberley vidyaputri

    Treasurer

  • Harman Hakim

    Lead

  • Andrew Devito Aryo

    Co-Lead

  • Karla Ameera Raswanda

    Secretary

  • Marla Marlena

    Head of Curriculum

  • Muhammad Muflih Mufaqqih

    Universitas Indonesia

    Business Development

  • Akmal Haqqani

    Universitas Indonesia

    Business Development

  • Vincentius Filbert

    Software Engineering Curriculum

  • Audrey Theressa Valencia

    Visual Design

  • M Naufal Abyaz B

    Software Engineering Curriculum

  • Kayla Zahra Andika

    Partnerships

  • Maurilla Abdul

    Data Science Curriculum

  • Maira Azma

    Data Science Curriculum

  • Abidzar Rabbani Khatib Harahap

    Universitas Indonesia

    Secretary

  • Satriyo Nur Hidayat

    Event

  • Naira Ammara Putri

    Visual Design

  • syahid arkan

    UI/UX Curriculum

  • Nezzaluna Azzahra Azzahra

    Software Engineering Curriculum

  • Muhammad Zaid Ats Tsabit

    Data Science Curriculum

  • Gentha Ardaana

    Software Engineering Curriculum

  • Relfa Athailla Shafiqa Nurdin

    Partnerships

  • Ahmad Fauzan Al Ayubi

    UI/UX Curriculum

  • Zhxck Zayyan

    Visual Design

  • Lessyarta Kamali Sopamena Pirade

    Marketing and Communication

  • Muhammad Fayyed As Shidqi

    Data Science Curriculum

  • Malya Raina

    Marketing and Communications

  • Jotham Seanvedi Takin Allo

    People Operations

  • Alfi Rizqy

    UI/UX Curriculum