Interpretable Machine Learning: Bridging the Gap Between Models and Decision-Making

In the ever-evolving world of data science and artificial intelligence, machine learning (ML) has become a cornerstone in solving real-world problems. From predicting customer behavior to diagnosing diseases, ML models are widely used in various doma...