Supervised Learning Classification Explained | Machine Learning Tutorial for Beginners | AIXplain

Supervised Learning Classification Explained | Machine Learning Tutorial for Beginners

AIXplain explains below things in this video.

🔍 Welcome to this in-depth tutorial on Supervised Learning - Classification in Machine Learning!
In this video, we’ll explore one of the most fundamental topics in machine learning: Classification in Supervised Learning. Whether you’re a beginner or brushing up on your skills, this tutorial is designed to give you a clear and practical understanding of how classification algorithms work, when to use them, and how to evaluate their performance.
🎯 What You’ll Learn:
What is Supervised Learning?
Difference between Classification and Regression
Real-life applications of classification
Popular classification algorithms (e.g., Logistic Regression)
Model training, testing, and evaluation techniques
Key metrics like accuracy, precision, recall, and F1 score
💡 Why This Video?
Classification is everywhere—from spam detection in emails to medical diagnoses and image recognition. A solid understanding of classification techniques is crucial for any aspiring data scientist, machine learning engineer, or AI enthusiast.

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