🎓 Workshop: Introduction to Supervised Learning & Classification Models 🎯

📅 Date: 23/02/2025 🕙 10 AM - 12 PM (Online)

👨‍🏫 Instructor: Rined Lazreg

🎯 Level: Beginner - Intermediate

📌 For: ML Department Members

🚀 Objective:

Dive into supervised learning, where models learn from labeled data to make predictions. We’ll explore classification, a key technique for predicting discrete labels (e.g., spam detection, disease diagnosis).

📚 What You’ll Learn:

✅ Basics of supervised learning & classification

✅ Deep dive into 4 classification models:

🔹 Logistic Regression – Simple yet powerful!

🔹 Decision Trees – Easy to interpret! 🌳

🔹 Support Vector Machines (SVM) – Robust & accurate! 🤖

🔹 k-Nearest Neighbors (k-NN) – Intuitive & efficient! 🏃‍♂️

✅ Model strengths, weaknesses & real-world use cases

✅ Hands-on Python & scikit-learn demo for training & evaluation

👥 Who Should Attend?

Perfect for students & beginners who want to:

🔹 Grasp machine learning fundamentals

🔹 Explore popular classification models

🔹 Apply models to real-world problems

🎁 Takeaways:

🔸 Strong foundation in supervised learning & classification

🔸 Familiarity with key ML models & their applications

🔸 Hands-on coding experience with Python

🔸 Resources to continue your ML journey 📖💻

🛠 Prerequisites:

✅ Basic Python knowledge (useful but not required).

✅ No prior ML experience needed—just curiosity & enthusiasm! 🚀🔥

🌟 Don’t miss this chance to kickstart your ML journey with expert guidance! See you online! 🎉