How to Easily Customize SHAP Plots in Python, by Leonie Monigatti

Explaining Scikit-learn models with SHAP, by Zolzaya Luvsandorj

Using SHAP Values to Explain How Your Machine Learning Model Works, by Vinícius Trevisan

SHAP for Binary and Multiclass Target Variables, by Conor O'Sullivan

List: Data Science - Explainability, Curated by Federico Viscioletti

Towards Data Science on LinkedIn: Cypher Generation: The Good, The Bad and The Messy

Hybrid (multimodal) neural network architecture : Combination of tabular, textual and image inputs to predict house prices., by Dave Cote, M.Sc.

Explaining Scikit-learn models with SHAP, by Zolzaya Luvsandorj

How to Leverage Xplainable and LLMs to Automate Business Intelligence & Optimisation, by Tim Huntley

SHAP for Binary and Multiclass Target Variables, by Conor O'Sullivan

Understand the Workings of SHAP and Shapley Values Used in Explainable AI, by Aditya Bhattacharya

List: Learning Data Science for Data Scientists, Curated by Yara Kyrychenko

SHAP for Time Series Event Detection, by Nakul Upadhya

SHAP: How to Interpret Machine Learning Models With Python, by Dario Radečić

Using SHAP to Debug a PyTorch Image Regression Model, by Conor O'Sullivan

S2AND: An Improved Author Disambiguation System for Semantic Scholar, by Sergey Feldman