K-Nearest Neighbors (KNN) Algorithm
K-Nearest Neighbors (KNN) Algorithm: Uncover the power of the K-Nearest Neighbors Algorithm at Impact Design Academy. Delve into this versatile machine learning technique that utilizes proximity-based classification and regression. Learn how KNN operates by identifying the "k" nearest data points to make predictions or identify patterns. Understand the importance of choosing the right value for "k" and explore different distance metrics. Discover the practical applications of KNN in various fields, including image recognition, recommender systems, and anomaly detection.
How kNN algorithm works
About.
The video describes how the k Nearest Neighbors algorithm works, and provide a simple example using 2-dimensional data and k = 3
Resources:
Presentation slides - https://prezi.com/ukps8hzjizqw/how-knn-k-nearest-neighbors-algorithm-works/?utm_campaign=share&utm_medium=copy
Develop k-Nearest Neighbors in Python From Scratch - https://machinelearningmastery.com/tutorial-to-implement-k-nearest-neighbors-in-python-from-scratch/
