[데이터사이언스]··13min
Statistics Fundamentals Chapter 5: Classification
A hands-on guide to classification algorithms — covering Naive Bayes, discriminant analysis, logistic regression, confusion matrices, ROC/AUC, and techniques for handling imbalanced data, all with code examples.
#Statistics#Classification#Logistic Regression#Machine Learning#Python