Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - What Is Classification?

The video tutorial introduces classification in supervised machine learning, using the MNIST dataset as a classic example. It discusses the two main data types in machine learning: images and text, and their respective fields, computer vision and NLP. Examples of classification include spam detection and online advertising. The tutorial explains the components of classification, how classifiers learn and make predictions, and demonstrates using Scikit-learn for implementing classification tasks.

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