Data Science Bootcamp : Unsupervised Machine Learning - Session 3

GDG on Campus Binus University Bandung - Bandung, Indonesia

🌟 Welcome to the World of Data Science: Unsupervised Machine Learning! 🌟

Feb 15, 6:00 – 7:30β€―AM (UTC)

16 RSVP'd

Key Themes

Data

About this event

🌟 Welcome to the World of Data Science: Unsupervised Machine Learning! 🌟

Are you ready to dive into the fascinating world of Machine Learning?

This session is your gateway to understanding Unsupervised Learning, a powerful approach that enables machines to uncover hidden patterns in data without labeled outputs. Whether you’re a beginner or looking to enhance your data science skills, this workshop will equip you with essential concepts and practical implementation techniques to strengthen your expertise.

πŸ“… Date: 15 Februari 2025

⏰ Time: 13.00-14.30 WIB

πŸ“ Online via Zoom : https://us05web.zoom.us/j/86548098839?pwd=BxSbsaANZESDJAnchbyylRQl1zniAG.1


πŸ” What Awaits You:

πŸ’‘ Introduction to Machine Learning

Get familiar with the fundamentals of Machine Learning and its real-world applications.

πŸ€– Supervised vs Unsupervised Learning

Understand the key differences between Supervised Learning (with labeled data) and Unsupervised Learning (finding patterns in unlabeled data).

πŸ“Š Clustering Techniques (K-Means)

Discover how K-Means Clustering groups similar data points and is widely used in market segmentation, image recognition, and more.

πŸ“‰ Dimensionality Reduction (PCA, t-SNE)

Learn how Principal Component Analysis (PCA) and t-SNE help simplify complex datasets while preserving essential patterns.

🐍 Practical Implementation in Python

Hands-on experience with Python libraries like Scikit-learn to apply Unsupervised Learning techniques to real datasets.

πŸ’¬ Interactive Q&A Session

Get your questions answered and gain insights from experts in the field!

πŸ“œ Exclusive Certification

Earn a certificate of completion to validate your knowledge and showcase your new skills!


🎯 Outcome:

By the end of this session, participants will understand the fundamentals of Unsupervised Learning, Clustering Techniques, and Dimensionality Reduction, as well as how to implement them in Python for real-world applications.

Join us for an engaging, hands-on session that blends theory with practical coding, helping you step into the world of Data Science and Unsupervised Machine Learning! πŸš€

Organizers

  • Raihan Elta

    Google Developer Groups on Campus

    Leader

  • Arya Maulana

    Co-Leader

  • Callista AH

    Head of Tematic

  • Fannan Fauzan Fardhurohman

    Pt.Ebdesk Technology

    Former Lead GDSC BINUS Bandung

  • Chelsea Ng

    Head of Pragmatic

  • KHANSA SALSABILA

    Head of Formalistic

  • Pazella Mutia reflin

    Core Team

  • dila humaira

    Core Team

  • Sabila Aralia Refina

    Core Team

  • Bryan Thanaya

    Core Team

  • m irham rizq Rizq

    Core Team

  • Meuthia Zarania

    Core Team

  • Joan Evelyn

    Core Team

  • debora evlyn atmadjaja

    Core Team

  • Dzahaban Diah

    Core Team

  • Hanni Nur Azqia

    Core Team

  • Devina Christabella

    Core Team

  • Vanessa Audreylia

    Core Team

  • Cynthia Shabrina

    Core Team

  • Zahra Ramadhania

    Core Team

  • Natasya Felicia

    Core Team

  • Naufal Yazid

    Core Team

  • Ezrela Wibisana

    Core Team

  • Gumelar Adi

    Core Team

  • Florenze Albertine

    Core Team

  • Maleo Farrel

    Core Team

  • Jesslyn Amanda Mulyawan

    BINUS University

    Core Team

  • Ascendiazorg Riupassa

    Core Team

  • Muhammad Rizki Afdolli

    Bina Nusantara University

    Core Team

  • Jessica Lynn

    Core Team

  • Joshua Wenata Sunarto

    The Software Practice Pte Ltd

    Core Team

  • Rayhan Kafi Pratama

    Core Team

  • Kenneth William N

    Core Team

  • Samuel Benediktus Meliala

    Core Team

  • Ezra Wijaya

    Core Team

  • Nisa Nurhayati

    Core Team

  • Frederick Krisna

    Core Team

  • William Theodorus

    Core Team

  • WILLIAM JOY

    Core Team

  • Aura Ginanti

    Core Team

  • Tristan Kurniawan

    Core Team

  • Muhammad Rahmadyan

    Core Team

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