Learn about K Nearest Neighbours algorithm in this 37-minute video, which forms the second part of the Supervised Learning with Non-Linear Models series from Launchpad. Discover how this intuitive classification and regression technique works by finding the K closest data points to make predictions, and understand its applications in machine learning problems where decision boundaries are complex and non-linear.
K Nearest Neighbours - Part 2 of Supervised Learning with Non-Linear Models
Overview
Syllabus
K Nearest Neighbours (Part 2 of Supervised Learning with Non-Linear Models)
Taught by
Launchpad
