Predicting and visualizing user-defined data point with K-Nearest Neighbors
K-nearest neighbors is easy to understand supervised learning method which is often used to solve classification problems. The algorithm assumes that similar objects are closer to each other. To understand it better and keeping it simple, explore this shiny app, where user can define data point, no. of neighbors and ...
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