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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
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The topics, related to KNN Algorithm have been widely covered in our course ‘Python for Big Data Analytics’.
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