Explainable Artificial Intelligence (XAI) in Python: 3 Powerful Projects You Need to Know with Code

Unlock the power of Explainable Artificial Intelligence (XAI) in Python with our comprehensive guide, Explainable Artificial Intelligence (XAI) in Python: 3 Powerful Projects You Need to Know with Code.

Dive deep into three essential Python packages—SHAP, LIME, and InterpretML—each explained in detail with practical code examples.

Enhance your understanding by experimenting directly with the provided Jupyter Notebooks, allowing you to implement and test XAI techniques hands-on. Perfect for developers, data scientists, and AI enthusiasts looking to demystify complex models and make AI more transparent and interpretable.

WHAT YOU WILL FIND

• Explainable Artificial Intelligence (XAI) in Python: 3 Powerful Projects You Need to Know.pdf
• SHAP_XAI_using_Python.ipynb
• LIME_XAI_using_Python.ipynb
• InterpretML_XAI_using_Python.ipynb