[ DevCourseWeb.com ] Udemy - Explainable Artificial Intelligence (XAI) with Python

Creation Time	Nov. 11, 2023, 4:24 a.m.
Last Access Time	Sept. 16, 2025, 5:45 a.m.
File Size	3.3 GB
Keywords	Python with Intelligence - Artificial Udemy DevCourseWeb XAI Explainable com
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~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/005 SHAP Demonstration.mp4 190.4 MB
~Get Your Files Here !/05 - Counterfactual Explanations/005 Demo of Counterfactual Explanations on Stroke Dataset.mp4 172.8 MB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/007 LIME Demonstration for textual dataset Part-3.mp4 134.7 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/010 Demo for Decision Tree Classifier Explanation.mp4 130.5 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/003 Need for Train-Test Split.mp4 118.3 MB
~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/005 Case Study-5 Demo of What-if Tool (WIT).mp4 106.9 MB
~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/001 Case Study-1 Demo of What-if Tool (WIT).mp4 103.7 MB
~Get Your Files Here !/01 - Introduction to XAI/001 XAI in Action.mp4 103.6 MB
~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/002 Case Study-2 Demo of What-if Tool (WIT).mp4 96.0 MB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/004 Demo of LIME for tabular Stroke Dataset.mp4 93.3 MB
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/001 Interaction Demos of LRP.mp4 93.1 MB
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/003 Mathematical Modelling of LRP.mp4 84.1 MB
~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/003 Case Study-3 Demo of What-if Tool (WIT).mp4 84.0 MB
~Get Your Files Here !/01 - Introduction to XAI/002 Need and Importance of XAI.mp4 79.5 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/012 Demo for Explainable Boosting Classifier Explanaation.mp4 77.8 MB
~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/004 Mathematical Modelling of SHAP Part-3.mp4 76.4 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/009 Demo for Logistic Regression Model Explanation.mp4 76.2 MB
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/005 Demo of LRP on MRI dataset Part-2.mp4 75.9 MB
~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/004 Case Study-4 Demo of What-if Tool (WIT).mp4 74.0 MB
~Get Your Files Here !/05 - Counterfactual Explanations/003 Mathematical Modelling of Counterfactual Explanations.mp4 71.6 MB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/006 LIME Demonstration for textual dataset Part-2.mp4 71.3 MB
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/004 Demo of LRP on MRI dataset Part-1.mp4 70.6 MB
~Get Your Files Here !/08 - Contrastive Explanations Method (CEM)/001 Working Principle and Applications of Contrastive Explanations Method (CEM).mp4 66.4 MB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/001 LIME Working Principle.mp4 65.8 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/007 Demo of Data Exploration for Stroke Dataset.mp4 65.5 MB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/005 LIME Demonstration for textual dataset Part-1.mp4 64.2 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/006 Quality Metrics for Classification Confusion Matrix, Precision, Recall, F1Score.mp4 57.5 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/008 InterpretML Package.mp4 56.9 MB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/003 Mathematical Modelling of LIME Part-2.mp4 55.8 MB
~Get Your Files Here !/01 - Introduction to XAI/003 By Design Interpretable Models Decision Tree Glass Box Models.mp4 54.8 MB
~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/003 Mathematical Modelling of SHAP Part-2.mp4 53.7 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/001 Demonstration of Glass Box Models Part-1.mp4 51.8 MB
~Get Your Files Here !/01 - Introduction to XAI/004 By Design Interpretable Models Logistic Regression Glass Box Models.mp4 50.6 MB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/002 Mathematical Modelling of LIME Part-1.mp4 50.2 MB
~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/001 SHAP Working Principle.mp4 48.9 MB
~Get Your Files Here !/05 - Counterfactual Explanations/002 Working Principle of Counterfactual Explanations.mp4 46.4 MB
~Get Your Files Here !/01 - Introduction to XAI/006 Black Box Models Part-2.mp4 45.1 MB
~Get Your Files Here !/05 - Counterfactual Explanations/001 Working Principle of Counterfactual Explanations-1.mp4 44.8 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/011 Explainable Boosting Classifier Working Principle.mp4 40.3 MB
~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/002 Mathematical Modelling of SHAP Part-1.mp4 37.3 MB
~Get Your Files Here !/01 - Introduction to XAI/007 XAI Categorization.mp4 37.1 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/004 Techniques for Balancing the Dataset.mp4 37.0 MB
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/002 Working Principle of LRP.mp4 36.1 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/002 Demonstration of Glass Box Models Part-2.mp4 35.3 MB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/005 Code for Balancing the Dataset.mp4 33.2 MB
~Get Your Files Here !/01 - Introduction to XAI/005 Black Box Models Part-1.mp4 30.5 MB
~Get Your Files Here !/05 - Counterfactual Explanations/004 Global Counterfactuals.mp4 26.9 MB
~Get Your Files Here !/13 - Acknowledgement/001 Gratitude.mp4 26.7 MB
~Get Your Files Here !/05 - Counterfactual Explanations/005 Demo of Counterfactual Explanations on Stroke Dataset_en.srt 26.8 KB
~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/005 SHAP Demonstration_en.srt 25.1 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/010 Demo for Decision Tree Classifier Explanation_en.srt 22.5 KB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/007 LIME Demonstration for textual dataset Part-3_en.srt 20.3 KB
~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/001 Case Study-1 Demo of What-if Tool (WIT)_en.srt 19.0 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/003 Need for Train-Test Split_en.srt 18.0 KB
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/003 Mathematical Modelling of LRP_en.srt 17.7 KB
~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/004 Mathematical Modelling of SHAP Part-3_en.srt 16.5 KB
~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/002 Case Study-2 Demo of What-if Tool (WIT)_en.srt 16.2 KB
~Get Your Files Here !/05 - Counterfactual Explanations/003 Mathematical Modelling of Counterfactual Explanations_en.srt 14.9 KB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/004 Demo of LIME for tabular Stroke Dataset_en.srt 14.0 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/006 Quality Metrics for Classification Confusion Matrix, Precision, Recall, F1Score_en.srt 13.5 KB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/001 LIME Working Principle_en.srt 13.1 KB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/003 Mathematical Modelling of LIME Part-2_en.srt 13.0 KB
~Get Your Files Here !/01 - Introduction to XAI/001 XAI in Action_en.srt 13.0 KB
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/005 Demo of LRP on MRI dataset Part-2_en.srt 12.8 KB
~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/005 Case Study-5 Demo of What-if Tool (WIT)_en.srt 12.5 KB
~Get Your Files Here !/08 - Contrastive Explanations Method (CEM)/001 Working Principle and Applications of Contrastive Explanations Method (CEM)_en.srt 12.2 KB
~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/001 SHAP Working Principle_en.srt 12.2 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/012 Demo for Explainable Boosting Classifier Explanaation_en.srt 12.2 KB
~Get Your Files Here !/01 - Introduction to XAI/003 By Design Interpretable Models Decision Tree Glass Box Models_en.srt 11.9 KB
~Get Your Files Here !/01 - Introduction to XAI/002 Need and Importance of XAI_en.srt 11.8 KB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/005 LIME Demonstration for textual dataset Part-1_en.srt 11.7 KB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/002 Mathematical Modelling of LIME Part-1_en.srt 11.6 KB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/006 LIME Demonstration for textual dataset Part-2_en.srt 11.5 KB
~Get Your Files Here !/01 - Introduction to XAI/004 By Design Interpretable Models Logistic Regression Glass Box Models_en.srt 11.5 KB
~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/003 Case Study-3 Demo of What-if Tool (WIT)_en.srt 11.1 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/007 Demo of Data Exploration for Stroke Dataset_en.srt 11.1 KB
~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/003 Mathematical Modelling of SHAP Part-2_en.srt 10.9 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/001 Demonstration of Glass Box Models Part-1_en.srt 10.9 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/009 Demo for Logistic Regression Model Explanation_en.srt 10.7 KB
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/001 Interaction Demos of LRP_en.srt 10.5 KB
~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/004 Case Study-4 Demo of What-if Tool (WIT)_en.srt 10.4 KB
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/004 Demo of LRP on MRI dataset Part-1_en.srt 10.4 KB
~Get Your Files Here !/05 - Counterfactual Explanations/002 Working Principle of Counterfactual Explanations_en.srt 9.8 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/011 Explainable Boosting Classifier Working Principle_en.srt 9.5 KB
~Get Your Files Here !/05 - Counterfactual Explanations/001 Working Principle of Counterfactual Explanations-1_en.srt 9.1 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/004 Techniques for Balancing the Dataset_en.srt 8.7 KB
~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/002 Mathematical Modelling of SHAP Part-1_en.srt 8.1 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/008 InterpretML Package_en.srt 8.1 KB
~Get Your Files Here !/01 - Introduction to XAI/006 Black Box Models Part-2_en.srt 7.8 KB
~Get Your Files Here !/01 - Introduction to XAI/007 XAI Categorization_en.srt 7.8 KB
~Get Your Files Here !/01 - Introduction to XAI/005 Black Box Models Part-1_en.srt 6.8 KB
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/002 Working Principle of LRP_en.srt 6.7 KB
~Get Your Files Here !/09 - Useful Resources for XAI/001 Useful Resources for XAI.html 5.9 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/002 Demonstration of Glass Box Models Part-2_en.srt 5.3 KB
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/005 Code for Balancing the Dataset_en.srt 4.8 KB
~Get Your Files Here !/05 - Counterfactual Explanations/004 Global Counterfactuals_en.srt 4.4 KB
~Get Your Files Here !/12 - Other resources from the Instructor/001 Other online courses from the Instructor.html 3.7 KB
~Get Your Files Here !/13 - Acknowledgement/001 Gratitude_en.srt 2.6 KB
~Get Your Files Here !/12 - Other resources from the Instructor/002 Text Books from the Instructor.html 1.3 KB
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/008 Recommended Practice Tasks.html 972 bytes
~Get Your Files Here !/05 - Counterfactual Explanations/006 Recommended Practice Tasks.html 843 bytes
~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/006 Recommended Practice Tasks.html 726 bytes
~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/external-assets-links.txt 608 bytes
~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/external-assets-links.txt 501 bytes
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/external-assets-links.txt 422 bytes
~Get Your Files Here !/Bonus Resources.txt 386 bytes
~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/external-assets-links.txt 320 bytes
~Get Your Files Here !/11 - Surprise on Completion of Course/001 Open your gift.html 195 bytes
Get Bonus Downloads Here.url 182 bytes
~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/006 Recommended Practice Tasks.html 102 bytes
~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/external-assets-links.txt 74 bytes
~Get Your Files Here !/05 - Counterfactual Explanations/external-assets-links.txt 74 bytes

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