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MACHINE LEARNING SPECIALTY (MLS-C01) Exam Practice Questions – ANALYSIS P6
All Machine Learning Specialty aspirants, watch these videos. MACHINE LEARNING OVERVIEW – MACHINE LEARNING ALGORITHMS – SUPERVISED LEARNING – THEORY – ALGORITHMS – PROJECT – LINEAR REGRESSION – PROJECT – UNSUPERVISED LEARNING – THEORY – ALGORITHMS – PROJECT – REINFORCEMENT LEARNING – THEORY – PROJECTS – AWS Real Time Projects / AWS Cloud Quest (1-25) AWS Real Time Projects /…
Read More » 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. 👉Subscribe to our new channel: Subject-wise playlist Links: ————————————————————————————————————————————– ► Operating System :…
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