Create data_utils.py

src/utils/data_utils.py

@@ -0,0 +1,20 @@
+# utils/data_utils.py
+import pandas as pd
+import numpy as np
+
+def load_csv(file_path):
+    """Load a CSV file into a pandas DataFrame."""
+    return pd.read_csv(file_path)
+
+def save_csv(data, file_path):
+    """Save a pandas DataFrame to a CSV file."""
+    data.to_csv(file_path, index=False)
+
+def split_data(data, test_size=0.2, random_state=42):
+    """Split a pandas DataFrame into training and testing sets."""
+    from sklearn.model_selection import train_test_split
+    return train_test_split(data, test_size=test_size, random_state=random_state)
+
+def convert_to_numpy(data):
+    """Convert a pandas DataFrame to a NumPy array."""
+    return data.values