Calling all DevFolks! Are you ready to embark on a journey into the realm of machine learning? Join us for an exciting workshop led by Putu Annand Kurnia Iswari, a computer science expert from UGM. In this session, we'll guide you through the fundamentals of machine learning using the powerful Scikit-Learn library, enabling you to build robust and intelligent models for various applications.

The workshop kicks off with an introduction to Scikit-Learn, a versatile and user-friendly machine learning library in Python. You'll gain an understanding of its core functionalities and explore its vast range of tools and algorithms. Whether you're new to machine learning or seeking to deepen your knowledge, this workshop is perfect for you.

Delve into the world of supervised and unsupervised learning models. We'll cover the different types of supervised models, such as decision trees and random forests, which are powerful for classification and regression tasks. You'll learn how to train and evaluate these models, enabling you to make accurate predictions and solve real-world problems.

Unleash the power of unsupervised learning with techniques like clustering and t-SNE. Discover how to group data points based on similarities and uncover hidden patterns within your dataset. By applying dimensionality reduction methods like Principal Component Analysis (PCA) and Non-Negative Matrix Factorization (NMF), you'll gain insights into how to represent complex data in a more compact and interpretable form.

Throughout the workshop, you'll engage in hands-on activities and practical examples to reinforce your understanding of Scikit-Learn and its applications. You'll have the opportunity to experiment with various datasets, fine-tune model parameters, and observe the impact of different algorithms on model performance.

Join us in this workshop and unlock the power of supervised and unsupervised learning using Scikit-Learn. Whether you're a data enthusiast, aspiring data scientist, or a seasoned professional, this workshop will equip you with the essential skills to tackle real-world machine learning challenges. Don't miss this opportunity to level up your machine learning expertise and harness the potential of data with Scikit-Learn.