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What is Bike Buyer Prediction with ML about?

This document discusses machine learning algorithms and their applications for classification problems. It describes supervised, unsupervised, and semi-supervised learning approaches. Popular classification algorithms like K-nearest neighbors, support vector machines, decision trees, and random forests are explained. The benefits of machine learning include simplifying marketing, improving medical diagnoses and data entry while limitations involve requiring large training data and potential biases. Applicat

Author

chaitra pujar

Language

EN