• ⚠️ Without Auto-sklearn: Primarily focused on tabular data; limited support for unstructured data like images or text.
• ⚠️ Without Auto-sklearn: Can be computationally expensive for very large datasets or complex tasks.
• ⚠️ Without Auto-sklearn: Requires Python programming knowledge to use effectively.
• ⚠️ Without Auto-sklearn: Documentation can be technical and challenging for beginners.