Despite its importance, preprocessing comes with several challenges:
Complexity: Dealing with large and complex datasets can be difficult and time-consuming. Data Integration: Combining data from disparate sources can lead to compatibility issues. Accuracy: Ensuring that all errors and inconsistencies are identified and corrected. Resource Intensive: Preprocessing can be resource-intensive, requiring significant computational power and time.