Practical Data Science using Python - Classification Problems and Performance Metrics

The video tutorial explains classification problems, focusing on binary and multiclass classification. It uses a heart disease detection example to illustrate how classification models work. The tutorial covers the training process, highlighting the importance of accuracy in predictions. It introduces the confusion matrix and various metrics like accuracy, precision, and recall to evaluate classification models.

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