init.

dataset

@@ -0,0 +1,11 @@
+from sklearn.datasets import load_iris
+import pandas as pd
+
+# Load Iris dataset
+iris = load_iris()
+data = pd.DataFrame(data=iris.data, columns=iris.feature_names)
+data['target'] = iris.target
+
+# Filter for binary classification (e.g., class 0 and class 1)
+binary_data = data[data['target'] != 2]  # Keep only classes 0 and 1
+print(binary_data.head())