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What is MLnotes Module 3 about?

Similarity-based learning, also known as instance-based learning, involves making predictions by comparing new data to previously seen examples. Key algorithms include k-Nearest Neighbour (k-NN), which classifies new instances based on the closest training data points, and Weighted k-NN, which gives more influence to nearer neighbors in predictions. The document provides detailed examples of applying these algorithms to classify student performance based on attributes like CGPA and assessment scores.

Author

sowndaryad59

Language

EN