Machine Learning K-Nearest Neighbor (KNN) Algorithm | AIML End-to-End Session 90 [Video]

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Machine Learning (AIML)?

“Welcome to AIML End-to-End Session 90 on the K-Nearest Neighbor (KNN) Algorithm. In this detailed session, we will explore the fundamentals of KNN, one of the simplest and most effective classification algorithms in Machine Learning. Learn how K-Nearest Neighbor (KNN) can be used to solve various classification and regression problems, and understand the key concepts of distance metrics, K-value optimization, and how to implement KNN using Python.

What You Will Learn:
Introduction to K-Nearest Neighbor (KNN) Algorithm.
How to determine the optimal K-value for classification tasks.
Real-world applications of KNN for solving classification and regression problems.
Implementing KNN in Python using popular libraries.
Performance evaluation of KNN and best practices for improving accuracy.
Whether you’re a beginner in Machine Learning or an advanced AI professional, this video provides everything you need to know about KNN algorithms and their practical applications.

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“Ready to master the K-Nearest Neighbor (KNN) Algorithm for practical Machine Learning tasks? Watch the video now and explore its applications in both classification and regression problems. For more advanced AI techniques and real-world examples, subscribe to our AIML™ channel, and don’t miss any upcoming tutorials!”

Machine Learning KNN
K-Nearest Neighbor Algorithm
KNN Algorithm Tutorial
KNN in Python
KNN Classification
Machine Learning Algorithms
KNN Machine Learning
KNN Regression
KNN Tutorial for Beginners
AIML Machine Learning
KNN Hyperparameter Tuning
KNN Performance Evaluation
Data Science KNN
AI and Machine Learning Algorithms
K-Nearest Neighbors Explained
KNN for Data Science
Machine Learning with Python

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