Logistic vs. Linear Regression Explained 📊 | Data Science Basics

Welcome to our Data Science Basics series! In this short video, we break down the differences between logistic and linear regression and when to use each. Learn how linear regression predicts continuous outcomes and is ideal for tasks like forecasting, while logistic regression is used for binary classification tasks, like spam detection. Perfect for anyone wanting to understand the unique roles each type of regression plays in machine learning.

Key Points Covered:

Linear Regression: Predicts Continuous Outcomes (e.g., house prices)
Logistic Regression: Predicts Probabilities for Binary Classification (e.g., spam detection)
When to Use Each Type
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