💻 Explainable AI

It is a set of processes and methods which helps human users to comprehend and trust the output produced by a machine learning algorithm. It helps characterize the machine-learning model's accuracy, fairness, and transparency.

Explainable AI refers to retracing an algorithm. Finding out how the algorithm got that result.

• Linear Regression
• Decision Tree
• Random Forest Classifier
• LIME
• Grad Cam