DATA SCIENCE ALGORITHMS||K-Nearest Neighbors|WITS UNIVERSITY
Автор: Anitha Tamara
Загружено: 2026-01-28
Просмотров: 55
Описание:
In this video, we explore K-Nearest Neighbors (KNN), a simple yet powerful algorithm used for classification and regression in Data Science and Machine Learning. This is part of an entry-level series designed so that anyone can watch, understand, and build a strong foundation in Data Science, no prior experience required.
The goal of this video is to help you understand the intuition behind the algorithm, not just the formula. By focusing on how KNN works conceptually, you’ll gain insight into how many real-world data-driven systems make predictions.
What you’ll learn in this video:
What KNN is and how it works
The idea of “nearest neighbors”
How distance measures influence predictions
How choosing K affects performance
Real-world applications and examples
A simple implementation walkthrough
KNN is an important algorithm to understand because it introduces core ideas like distance, similarity, and decision boundaries, which appear throughout Data Science and Machine Learning.
If you’re just starting out, this video is a great step toward understanding how algorithms learn from data.
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
