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How kNN Algorithm Works for Classification Problems | Intuitively and Clearly Explained in 3 minutes
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The k-Nearest Neighbours, or kNN, is among the most fundamental machine learning algorithms, and it also represents a peculiar family of techniques. It is a Supervised Machine Learning Algorithm, that helps with both Classification and Regression Problems.
In this 3 minute video we cover the Classification Set of Problems, and intuitively explain how one of the popular metrics, Euclidean distance (You could use many other distance metrics) is utilised for making efficient predictions in Machine Learning solutions. Keeping this Short, Sweet, and Simple.
Also, a shout-out and thank you to my first Patron "Francesca Solari". Your support is encouraging, and helpful :)
Do not forget to Like, Share, and Subscribe.
Stay Tuned for more, where we break down things, atom by atom :)
Music: Asher Fulero - Web Weaver's Dance
#MachineLearning #KNNAlgorithm #DataScience #ArtificialIntelligence #Mathematics #StudyFromHome
In this 3 minute video we cover the Classification Set of Problems, and intuitively explain how one of the popular metrics, Euclidean distance (You could use many other distance metrics) is utilised for making efficient predictions in Machine Learning solutions. Keeping this Short, Sweet, and Simple.
Also, a shout-out and thank you to my first Patron "Francesca Solari". Your support is encouraging, and helpful :)
Do not forget to Like, Share, and Subscribe.
Stay Tuned for more, where we break down things, atom by atom :)
Music: Asher Fulero - Web Weaver's Dance
#MachineLearning #KNNAlgorithm #DataScience #ArtificialIntelligence #Mathematics #StudyFromHome
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