GDG on Campus Binus University Bandung - Bandung, Indonesia
π Welcome to the World of Data Science: Unsupervised Machine Learning! π
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π Welcome to the World of Data Science: Unsupervised Machine Learning! π
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 youβre 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.
π Date: 15 Februari 2025
β° Time: 13.00-14.30 WIB
π Online via Zoom : https://us05web.zoom.us/j/86548098839?pwd=BxSbsaANZESDJAnchbyylRQl1zniAG.1
π What Awaits You:
π‘ Introduction to Machine Learning
Get familiar with the fundamentals of Machine Learning and its real-world applications.
π€ Supervised vs Unsupervised Learning
Understand the key differences between Supervised Learning (with labeled data) and Unsupervised Learning (finding patterns in unlabeled data).
π Clustering Techniques (K-Means)
Discover how K-Means Clustering groups similar data points and is widely used in market segmentation, image recognition, and more.
π Dimensionality Reduction (PCA, t-SNE)
Learn how Principal Component Analysis (PCA) and t-SNE help simplify complex datasets while preserving essential patterns.
π Practical Implementation in Python
Hands-on experience with Python libraries like Scikit-learn to apply Unsupervised Learning techniques to real datasets.
π¬ Interactive Q&A Session
Get your questions answered and gain insights from experts in the field!
π Exclusive Certification
Earn a certificate of completion to validate your knowledge and showcase your new skills!
π― 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! π
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