Parallel Computing
Lec-7: kNN Classification with Real Life Example | Movie Imdb Example | Supervised Learning
00:00 β introduction 00:56 β classification 02:25 β example 04:39 β 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. πSubscribe to our new channel: Subject-wise playlist Links: ————————————————————————————————————————————– βΊ Operating System :…
Read More »Utilizing Supercomputers in Data Centers with Virtualization and Hypervisors
– The video discusses how to use Ubuntu on the cloud, focusing on a one-hour journey of learning. – The importance of waking up and developing a need to wake up in order to utilize the cloud effectively is emphasized. – Detailed steps for creating and using Ubuntu on the cloud are provided for developers and QA professionals. – Instructions…
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