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

The video tutorial discusses the differences between regression and classification in machine learning. Regression involves predicting continuous target variables, while classification deals with predicting discrete class labels. The instructor provides examples of classification problems, such as image classification and face recognition, and explains the importance of coding class categories as numbers. The video concludes with a preview of the next tutorial, which will involve hands-on coding with classification in Jupyter Notebook using scikit-learn.

What are some common applications of classification problems in industry?

How can categories in classification datasets be encoded as numbers?