Iris Dataset

The Iris Dataset is a classic dataset in machine learning, widely used for classification tasks and data visualization. It contains measurements of iris flowers from three different species, making it ideal for exploring algorithms like k-nearest neighbors and decision trees. Discover various workflows that demonstrate data analysis, model training, and visualization techniques using the Iris Dataset. Dive in and enhance your understanding of machine learning by exploring these practical applications!