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k-Nearest Neighbors Classification algorithm [Case Study]

Predicting car quality with the help of Neighbors Introduction : The goal of the blogpost is to get the beginners started with fundamental concepts  of the K Nearest Neighbour Classification Algorithm popularly known by the name KNN classifiers. We will mainly focus on learning to build your first KNN model. The data cleaning and preprocessing parts would be covered in detail in an upcoming post. Classification Machine Learning is a technique of learning where a particular instance is mapped against one of the many labels. The labels are prespecified to train your model . The machine learns the pattern from the data in such a way that the learned representation successfully  maps the original dimension to the suggested label/class without any more intervention from a human expert. How does...

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