Decision trees are powerful models that simulate human decision-making by breaking down complex problems into clear, step-by-step choices. They are widely used for classification and regression tasks, providing intuitive and interpretable results.
Let's dive into logistic regression, a fundamental classification algorithm. We'll implement it from scratch, break down the code step by step, and demonstrate its application on a popular dataset.
Have you ever wondered how Netflix knows exactly what show you might want to watch next? Or how your email automatically filters spam messages? Or maybe how your phone recognizes your face? All of these technological wonders are powered by machine learning.