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🎥 Understanding Loss Functions for Classification 🧠

In this video, we dive deep into the world of loss functions, a crucial concept in machine learning! Whether you're working on classification tasks like image recognition, text classification, or customer segmentation, choosing the right loss function can make or break your model's performance.

📌 What you'll learn:
✅ What are loss functions and why are they important?
✅ Commonly used loss functions for classification:
1.Binary Cross-Entropy Loss
2.Cross-Entropy Loss
3.Hinge Loss
✅ How loss functions impact model training.
✅ Examples and visualizations for better understanding.
💡 Perfect for data science enthusiasts, ML practitioners, and anyone curious about AI!
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