Course Description:

K- Near Neighbors (KNN) is a simple algorithm in pattern recognition. It is a non-paramentric method, which measures distance between the scenario of a single query and a set of scenarios in a data set. It is mainly used for classification and regression. Following are the topics covered in the video: 1. KNN Algorithm (Example) 2. KNN Algorithm- Significance 3. KNN Algorithm- Pros & Cons 4. Building the Classifier 5. Executing the Classifier 6. Testing a Classifier 7. Clustering Course Length: 16:43 minutes Source: Edureka

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