Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Classification Soluti

The video tutorial introduces key terminology and data representation methods for classification in machine learning. It covers essential terms like training data, targets, and features, and explains how data is represented as feature vectors. The tutorial also discusses the importance of understanding these concepts for adapting to other models like regression and unsupervised learning. Additionally, it explains how labels are encoded numerically for machine learning models.

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