Тёмный

K-Nearest Neighbors (KNN) Explained | Machine Learning Tutorial with Python 

Analyst Chronicles
Подписаться 6 тыс.
Просмотров 189
50% 1

In this video, we dive deep into the K-Nearest Neighbors (KNN) algorithm, one of the simplest yet powerful machine learning techniques. We'll cover:
What KNN is and how it works
Step-by-step implementation using Python
Data preprocessing and normalization
Choosing the optimal number of neighbors (K)
Model evaluation and performance metrics
Making predictions with new data
Whether you're a beginner or looking to brush up on your machine learning skills, this tutorial has you covered. Follow along with the code examples and start implementing KNN in your projects today!
#coding #datascience #pythonlearning #pythonprogramming #education #machinelearningalgorithm #cricket #cricketlover #educationalvideo #movie #hollywood #science

Опубликовано:

 

7 окт 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 1   
@KhadijaisKayKay
@KhadijaisKayKay 3 месяца назад
This is really helpful👍
Далее
UAI 2024 Tutorial 4: Geometric Probabilistic Models
2:31:31
小丑家的感情危机!#小丑#天使#家庭
00:15
очень грустно 😭
00:12
Просмотров 88 тыс.
Feature related issues
23:59
Просмотров 7 тыс.
Time Series Forecasting with XGBoost - Advanced Methods
22:02
Naive Bayes, Clearly Explained!!!
15:12
Просмотров 1 млн
Feature selection in machine learning | Full course
46:41
All Learning Algorithms Explained in 14 Minutes
14:10
Просмотров 252 тыс.
This Is Why Python Data Classes Are Awesome
22:19
Просмотров 808 тыс.
小丑家的感情危机!#小丑#天使#家庭
00:15