Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...

In this video I demonstrate each step while painting ghost flames on a panel. I also share how to differentiate overlapping flame licks and how to add drop shadowing, two techniques that are rarely ...

Abstract: This paper explores the application of KNN for identifying and analyzing dissolved gases in power transformer (PT) oil. We want to make a strong diagnostic model that can correctly classify ...