kNN algorithm explained

  • Lec-7: kNN Classification with Real Life Example | Movie Imdb Example | Supervised Learning

    00:00 – introduction 00:56 – classification 02:25 – example 04:39 – calculation K-Nearest Neighbors (KNN) is a simple, non-parametric, and instance-based learning algorithm used for classification and regression. In the context of classification, KNN classifies a data point based on the majority class of its k-nearest neighbors. πŸ‘‰Subscribe to our new channel: Subject-wise playlist Links: ————————————————————————————————————————————– β–Ί Operating System :…

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