CART (Classification and Regression Trees) stands as one of the most interpretable and versatile algorithms in machine learning. Developed by Leo Breiman and colleagues in
Tag: regression
k-Nearest Neighbors (kNN): The Intuitive Algorithm That Powers Recommendation Systems
The k-Nearest Neighbors (kNN) algorithm stands as one of the most intuitive and fundamentally simple algorithms in machine learning, yet it remains remarkably effective across
k-means Clustering
The k-means algorithm, a straightforward and widely used clustering algorithm. Given a set of objects (records), the goal of clustering or segmentation is to divide
