In this video we explain **Linear Discriminant Analysis (LDA)**, a Machine Learning algorithm used for **classification and dimensionality reduction**.
We explore its origins with *Ronald Fisher**, the intuition behind the method, its mathematical formulation, and its main assumptions. We also show a **practical implementation in Python using Scikit-learn**, applying it to the **Breast Cancer Wisconsin dataset* to see how LDA can help separate benign and malignant tumors.