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| Archived
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01 - Course Overview\01 - Course Overview.mp4
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02 - Evaluating the Effectiveness of a Clustering Model\02 - Module Overview.mp4
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2,507,325 |
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02 - Evaluating the Effectiveness of a Clustering Model\03 - Prerequisites and Course Outline.mp4
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1,826,140 |
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02 - Evaluating the Effectiveness of a Clustering Model\04 - Module Summary .mp4
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2,155,557 |
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02 - Evaluating the Effectiveness of a Clustering Model\05 - Evaluating the Results of Data Mining.mp4
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9,116,840 |
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02 - Evaluating the Effectiveness of a Clustering Model\06 - White-box Models and Concept Drift.mp4
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5,593,894 |
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02 - Evaluating the Effectiveness of a Clustering Model\07 - Model Simplicity.mp4
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7,577,731 |
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02 - Evaluating the Effectiveness of a Clustering Model\08 - Evaluating Clustering Models .mp4
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12,255,061 |
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02 - Evaluating the Effectiveness of a Clustering Model\09 - Demo- Performing Clustering Analysis Using K-means Clustering.mp4
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02 - Evaluating the Effectiveness of a Clustering Model\10 - Demo- Performing Clustering Analysis Using Agglomerative Clustering and Mean Shift Clustering.mp4
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02 - Evaluating the Effectiveness of a Clustering Model\11 - Demo- Evaluating K-means Clustering Using Sum of Squared Distances and Silhoutte Score.mp4
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02 - Evaluating the Effectiveness of a Clustering Model\12 - Demo- Evaluating Agglomerative Clustering and Estimating the Right Bandwidth for Mean Shift Clustering.mp4
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03 - Evaluating the Effectiveness of Association Rule Mining\13 - Module Overview.mp4
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03 - Evaluating the Effectiveness of Association Rule Mining\14 - Association Rule Mining for Market Basket Analysis.mp4
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03 - Evaluating the Effectiveness of Association Rule Mining\15 - Support and Frequent Itemsets.mp4
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03 - Evaluating the Effectiveness of Association Rule Mining\16 - Confidence, Lift, and Conviction.mp4
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03 - Evaluating the Effectiveness of Association Rule Mining\17 - An Overview of the Apriori Algorithm.mp4
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03 - Evaluating the Effectiveness of Association Rule Mining\18 - Demo- Using the Apriori Algorithm to Generate Frequent Itemsets.mp4
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03 - Evaluating the Effectiveness of Association Rule Mining\19 - Demo- Association Rule Mining on a Toy Dataset.mp4
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03 - Evaluating the Effectiveness of Association Rule Mining\20 - Demo- Exploring the Bread Basket Dataset.mp4
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03 - Evaluating the Effectiveness of Association Rule Mining\21 - Demo- Association Rule Mining Using the Bread Basket Data.mp4
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03 - Evaluating the Effectiveness of Association Rule Mining\22 - Module Summary.mp4
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04 - Evaluating the Effectiveness of Regression Models\23 - Module Overview.mp4
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04 - Evaluating the Effectiveness of Regression Models\24 - Finding the Best Fit Line.mp4
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04 - Evaluating the Effectiveness of Regression Models\25 - Interpreting Regression Results.mp4
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04 - Evaluating the Effectiveness of Regression Models\26 - R-square and Adjusted R-square.mp4
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04 - Evaluating the Effectiveness of Regression Models\27 - T-statistics and F-statistic.mp4
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04 - Evaluating the Effectiveness of Regression Models\28 - Demo- Exploring the Regression Dataset.mp4
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04 - Evaluating the Effectiveness of Regression Models\29 - Demo- Building and Evaluating a Regression Model.mp4
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04 - Evaluating the Effectiveness of Regression Models\30 - Demo- Interpreting Results Using Residuals and Learning Curves.mp4
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04 - Evaluating the Effectiveness of Regression Models\31 - Demo- Evaluating Multiple Regression Models.mp4
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04 - Evaluating the Effectiveness of Regression Models\32 - Module Summary.mp4
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05 - Evaluating the Effectiveness of Classification Models\33 - Module Overview.mp4
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05 - Evaluating the Effectiveness of Classification Models\34 - Accuracy as an Evaluation Metric.mp4
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05 - Evaluating the Effectiveness of Classification Models\35 - Module Summary.mp4
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05 - Evaluating the Effectiveness of Classification Models\36 - Precision and Recall to Evaluate Classifiers.mp4
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05 - Evaluating the Effectiveness of Classification Models\37 - The ROC Curve.mp4
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05 - Evaluating the Effectiveness of Classification Models\38 - Validating Models Using Training, Validation, and Test Sets.mp4
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05 - Evaluating the Effectiveness of Classification Models\39 - K-fold Cross Validation.mp4
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05 - Evaluating the Effectiveness of Classification Models\40 - Demo- Exploring the Classification Dataset.mp4
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05 - Evaluating the Effectiveness of Classification Models\41 - Demo- K-fold, Hold-out, and Shuffle Split Cross Validation.mp4
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05 - Evaluating the Effectiveness of Classification Models\42 - Demo- Grid Search for Hyperparameter Tuning with Cross Validation.mp4
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05 - Evaluating the Effectiveness of Classification Models\43 - Demo- Evaluating the Model Using Accuracy, Precision, Recall and the ROC Curve.mp4
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evaluating-data-mining-model.zip |
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01 - Course Overview |
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02 - Evaluating the Effectiveness of a Clustering Model |
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03 - Evaluating the Effectiveness of Association Rule Mining |
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