Deep Learning with Yacine on MSN
Build k-nearest neighbors from scratch in Python – step by step tutorial
Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
Deep Learning with Yacine on MSN
Adadelta optimizer explained – Python tutorial for beginners & pros
Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
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 ...
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 ...
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