Othniel MEJABI·Sep 29Why Model Evaluation Matters: A Production Case StudyA model was already live, forecasting rain a day ahead. It looked done. Evaluating it properly is what showed it wasn’t.A response icon1A response icon1
Mr. Vivek Kumar·Aug 19Model Explainability and SHAP in DetailModel Explainability and SHapley Additive exPlanations (SHAP)
NetMiner·Jun 25Regression Isn’t Enough: XAIRegression analysis is a powerful tool in social science research.
Kishore·Mar 27Model Explainability: SHAP valuesSHAPley values are used to explain which feature contributed how much for a predicted value.
InTripadvisor TechbyTripadvisor·Feb 22Travel Plus Experience Meets Data at ViatorHow Viator uses data to provide you with an unforgettable experience.A response icon6A response icon6
Sayeh Oloumi·Dec 6, 2025Predicting whether a Credit Card Client Will Default or not Using Machine LearningIt is critical for credit card companies to keep track of their customers and their credit; this can often help credit card companies…
adham ayman·Oct 13, 2025Explaining Heart Disease Predictions with SHAP: A Step-by-Step Guide Using the UCI Heart DatasetLearn how to make black-box ML models transparent and trustworthy using SHAP values on one of the most famous medical datasets.
Bhagya Rana·Sep 27, 2025Shapley Values at Scale: Useful Explainability, FastPractical patterns to get faithful, production-grade Shapley explanations without grinding your pipelines to a halt.
Ashim Datta·Jul 4, 2025Cracking XAI Code: Scalable, Human-Centric Explanations for Stock Price PredictionsCracking XAI Code: Scalable, Human-Centric Explanations for Stock Price Predictions
Arjun Prakash·Apr 13, 2025xAI — How does SHAP workThis is summary of my conversation with o3-mini-high back and forth on how SHAP works and things I must be wary of while using SHAP…
