DevCourseWeb com Udemy Explainable Artificial Intelligence XAI with Python

DevCourseWeb com Udemy Explainable Artificial Intelligence XAI with Python

Name	[ DevCourseWeb.com ] Udemy - Explainable Artificial Intelligence (XAI) with Python	DOWNLOAD Copy Link
Total Size	3.6 GB
Total Files	112
Last Seen	2024-10-06 23:52
Hash	74CB5F8C345D300FD86860991FFA1B9D3362AA1B

/
Get Bonus Downloads Here.url	0.2 KB
/.../01 - Introduction to XAI/
001 XAI in Action.mp4	108.6 MB
001 XAI in Action_en.srt	13.3 KB
002 Need and Importance of XAI.mp4	83.3 MB
002 Need and Importance of XAI_en.srt	12.1 KB
003 By Design Interpretable Models Decision Tree Glass Box Models.mp4	57.5 MB
003 By Design Interpretable Models Decision Tree Glass Box Models_en.srt	12.2 KB
004 By Design Interpretable Models Logistic Regression Glass Box Models.mp4	53.1 MB
004 By Design Interpretable Models Logistic Regression Glass Box Models_en.srt	11.7 KB
005 Black Box Models Part-1.mp4	31.9 MB
005 Black Box Models Part-1_en.srt	7.0 KB
006 Black Box Models Part-2.mp4	47.3 MB
006 Black Box Models Part-2_en.srt	8.0 KB
007 XAI Categorization.mp4	38.9 MB
007 XAI Categorization_en.srt	8.0 KB
/.../02 - Demonstration of By Design Interpretable Models Glass Box/
001 Demonstration of Glass Box Models Part-1.mp4	54.3 MB
001 Demonstration of Glass Box Models Part-1_en.srt	11.2 KB
002 Demonstration of Glass Box Models Part-2.mp4	37.0 MB
002 Demonstration of Glass Box Models Part-2_en.srt	5.4 KB
003 Need for Train-Test Split.mp4	124.1 MB
003 Need for Train-Test Split_en.srt	18.4 KB
004 Techniques for Balancing the Dataset.mp4	38.8 MB
004 Techniques for Balancing the Dataset_en.srt	8.9 KB
005 Code for Balancing the Dataset.mp4	34.9 MB
005 Code for Balancing the Dataset_en.srt	4.9 KB
006 Quality Metrics for Classification Confusion Matrix, Precision, Recall, F1Score.mp4	60.3 MB
006 Quality Metrics for Classification Confusion Matrix, Precision, Recall, F1Score_en.srt	13.8 KB
007 Demo of Data Exploration for Stroke Dataset.mp4	68.7 MB
007 Demo of Data Exploration for Stroke Dataset_en.srt	11.3 KB
008 InterpretML Package.mp4	59.6 MB
008 InterpretML Package_en.srt	8.3 KB
009 Demo for Logistic Regression Model Explanation.mp4	79.9 MB
009 Demo for Logistic Regression Model Explanation_en.srt	11.0 KB
010 Demo for Decision Tree Classifier Explanation.mp4	136.8 MB
010 Demo for Decision Tree Classifier Explanation_en.srt	23.0 KB
011 Explainable Boosting Classifier Working Principle.mp4	42.2 MB
011 Explainable Boosting Classifier Working Principle_en.srt	9.7 KB
012 Demo for Explainable Boosting Classifier Explanaation.mp4	81.6 MB
012 Demo for Explainable Boosting Classifier Explanaation_en.srt	12.4 KB
external-assets-links.txt	0.5 KB
/.../03 - LIME (Local Interpretable Model Agnostic Explanations)/
001 LIME Working Principle.mp4	69.0 MB
001 LIME Working Principle_en.srt	13.4 KB
002 Mathematical Modelling of LIME Part-1.mp4	52.6 MB
002 Mathematical Modelling of LIME Part-1_en.srt	11.9 KB
003 Mathematical Modelling of LIME Part-2.mp4	58.5 MB
003 Mathematical Modelling of LIME Part-2_en.srt	13.4 KB
004 Demo of LIME for tabular Stroke Dataset.mp4	97.9 MB
004 Demo of LIME for tabular Stroke Dataset_en.srt	14.3 KB
005 LIME Demonstration for textual dataset Part-1.mp4	67.3 MB
005 LIME Demonstration for textual dataset Part-1_en.srt	12.0 KB
006 LIME Demonstration for textual dataset Part-2.mp4	74.8 MB
006 LIME Demonstration for textual dataset Part-2_en.srt	11.8 KB
007 LIME Demonstration for textual dataset Part-3.mp4	141.2 MB
007 LIME Demonstration for textual dataset Part-3_en.srt	20.8 KB
008 Recommended Practice Tasks.html	1.0 KB
external-assets-links.txt	0.6 KB
/.../04 - SHAP (SHapley Additive exPlanations)/
001 SHAP Working Principle.mp4	51.3 MB
001 SHAP Working Principle_en.srt	12.5 KB
002 Mathematical Modelling of SHAP Part-1.mp4	39.1 MB
002 Mathematical Modelling of SHAP Part-1_en.srt	8.3 KB
003 Mathematical Modelling of SHAP Part-2.mp4	56.3 MB
003 Mathematical Modelling of SHAP Part-2_en.srt	11.2 KB
004 Mathematical Modelling of SHAP Part-3.mp4	80.1 MB
004 Mathematical Modelling of SHAP Part-3_en.srt	16.9 KB
005 SHAP Demonstration.mp4	199.7 MB
005 SHAP Demonstration_en.srt	25.7 KB
006 Recommended Practice Tasks.html	0.7 KB
external-assets-links.txt	0.1 KB
/.../05 - Counterfactual Explanations/
001 Working Principle of Counterfactual Explanations-1.mp4	46.9 MB
001 Working Principle of Counterfactual Explanations-1_en.srt	9.3 KB
002 Working Principle of Counterfactual Explanations.mp4	48.7 MB
002 Working Principle of Counterfactual Explanations_en.srt	10.1 KB
003 Mathematical Modelling of Counterfactual Explanations.mp4	75.1 MB
003 Mathematical Modelling of Counterfactual Explanations_en.srt	15.2 KB
004 Global Counterfactuals.mp4	28.2 MB
004 Global Counterfactuals_en.srt	4.6 KB
005 Demo of Counterfactual Explanations on Stroke Dataset.mp4	181.2 MB
005 Demo of Counterfactual Explanations on Stroke Dataset_en.srt	27.5 KB
006 Recommended Practice Tasks.html	0.8 KB
external-assets-links.txt	0.1 KB
/.../06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/
001 Case Study-1 Demo of What-if Tool (WIT).mp4	108.7 MB
001 Case Study-1 Demo of What-if Tool (WIT)_en.srt	19.4 KB
002 Case Study-2 Demo of What-if Tool (WIT).mp4	100.6 MB
002 Case Study-2 Demo of What-if Tool (WIT)_en.srt	16.6 KB
003 Case Study-3 Demo of What-if Tool (WIT).mp4	88.0 MB
003 Case Study-3 Demo of What-if Tool (WIT)_en.srt	11.4 KB
004 Case Study-4 Demo of What-if Tool (WIT).mp4	77.6 MB
004 Case Study-4 Demo of What-if Tool (WIT)_en.srt	10.7 KB
005 Case Study-5 Demo of What-if Tool (WIT).mp4	112.1 MB
005 Case Study-5 Demo of What-if Tool (WIT)_en.srt	12.9 KB
external-assets-links.txt	0.3 KB
/.../07 - Layer-wise Relevance Propagation (LRP)/
001 Interaction Demos of LRP.mp4	97.6 MB
001 Interaction Demos of LRP_en.srt	10.8 KB
002 Working Principle of LRP.mp4	37.9 MB
002 Working Principle of LRP_en.srt	6.9 KB
003 Mathematical Modelling of LRP.mp4	88.2 MB
003 Mathematical Modelling of LRP_en.srt	18.1 KB
004 Demo of LRP on MRI dataset Part-1.mp4	74.0 MB
004 Demo of LRP on MRI dataset Part-1_en.srt	10.6 KB
005 Demo of LRP on MRI dataset Part-2.mp4	79.6 MB
005 Demo of LRP on MRI dataset Part-2_en.srt	13.1 KB
006 Recommended Practice Tasks.html	0.1 KB
external-assets-links.txt	0.4 KB
/.../08 - Contrastive Explanations Method (CEM)/
001 Working Principle and Applications of Contrastive Explanations Method (CEM).mp4	69.6 MB
001 Working Principle and Applications of Contrastive Explanations Method (CEM)_en.srt	12.5 KB
/.../09 - Useful Resources for XAI/
001 Useful Resources for XAI.html	6.0 KB
/.../11 - Surprise on Completion of Course/
001 Open your gift.html	0.2 KB
/.../12 - Other resources from the Instructor/
001 Other online courses from the Instructor.html	3.8 KB
002 Text Books from the Instructor.html	1.3 KB
/13 - Acknowledgement/
001 Gratitude.mp4	28.0 MB
001 Gratitude_en.srt	2.6 KB
/~Get Your Files Here !/
Bonus Resources.txt	0.4 KB
Total files 112