The Iris flower dataset includes three species: Setosa, Versicolor, and Virginica. These species are distinguished based on their measurements, making the dataset widely used for classification and pattern recognition tasks.

Key Features:

• Includes sepal length, sepal width, petal length, and petal width for classification.
• Differentiates species through measurable characteristics.
• Ideal for exploring supervised learning techniques like classification and visualization.

Skills Used:

• Python
• Data preprocessing and exploration.
• Visualization of feature relationships (e.g., scatter plots).
• Application of classification algorithms (e.g., k-Nearest Neighbors, Decision Trees).