Lec-5: Easy-to-Understand Logistic Regression Explained with Simple Example 📊

Logistic Regression is a powerful algorithm used for binary classification tasks, where the goal is to predict one of two possible outcomes. It transforms linear output into probabilities, making it ideal for problems like spam detection and disease diagnosis.
In this video, we’ll explore the basics of Logistic Regression and demonstrate how to apply it to classification problems.
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Timestamps:
00:00 – Logistic regression
03:08 -- Sigmoid Function
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