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This article explores some of the most popular machine learning algorithms used for data classification. These include Decision Trees, Random Forest, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Logistic Regression, Naive Bayes, and Neural Networks. Each algorithm has its own strengths and weaknesses, making them suitable for different types of classification tasks.
