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Logistic Regression Explained | Machine Learning Classification Algorithm

In this video, we explore Logistic Regression, a fundamental machine learning classification algorithm used to predict categorical outcomes such as Yes/No, 0/1, or True/False.

You’ll learn:
✅ What Logistic Regression is
✅ How the Sigmoid Function works
✅ Types of Logistic Regression (Binary, Multinomial, Ordinal)
✅ Model building steps
✅ Evaluation metrics like Accuracy, Precision, Recall & F1-score
✅ Real-world applications and limitations
✅ Python implementation using scikit-learn

This video is perfect for students, beginners, and data science enthusiasts looking to build a strong foundation in machine learning.

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