Evaluating Classification and Regression Systems, Part 2

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Evaluating Classification and Regression Systems, Part 2

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Evaluating Classification and Regression Systems, Part 2
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1.1 Overfitting_Underfitting I -‚ÄØSynthetic Data-1_yphjgmjr.mp4
MP4
205.6 MB
1.2 Overfitting_Underfitting II -‚ÄØVarying Model Complexity-1_4jc84dfq.mp4
MP4
454.5 MB
1.3 Errors and Costs-1_364pwj7e.mp4
MP4
149 MB
1.4 Cross-Validation-1_wcmktsak.mp4
MP4
177.9 MB
1.5 Leave-One-Out Cross-Validation-1_hou0uzn8.mp4
MP4
133.2 MB
1.6 Stratification-1_7661gb5m.mp4
MP4
185.3 MB
1.7 Repeated Train-Test Splits-1_vcl9pphi.mp4
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219.7 MB
1.8 Getting Graphical -‚ÄØLearning and Complexity Curves-1_064j1pbp.mp4
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363.8 MB
1.9 Graphical Cross-Validation-1_wb2bx7cm.mp4
MP4
138.1 MB
2.1 Baseline Classifiers and Classification Metrics-1_6zplg1w6.mp4
MP4
262.2 MB
2.2 The Confusion Matrix-1_kosvwu6a.mp4
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257 MB
2.3 Metrics from the Binary Confusion Matrix-1_46mxjpcf.mp4
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566.9 MB
2.4 Understanding the ROC Curve and AUC-1_p7isvg1c.mp4
MP4
401.7 MB
2.5 Comparing Classifiers with ROC and PR Curves-1_pf3lihbt.mp4
MP4
249 MB
3.1 Multi-class Metric Averages-1_yuamn4h2.mp4
MP4
402.3 MB
3.2 Multi-class AUC - One-versus-Rest-1_ennowo9v.mp4
MP4
198.9 MB
3.3 Multi-class AUC - The Hand and Till Method-1_6a7v3mxv.mp4
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179.6 MB
3.4 Cumulative Response and Lift Curves-1_1laascbx.mp4
MP4
178.6 MB
3.5 Case Study - A Classifier Comparison-1_zp5u03mz.mp4
MP4
297.1 MB
4.1 Baseline Regressors-1_d7296qus.mp4
MP4
193.9 MB
4.2 Regression Metrics - Custom Metrics and RMSE-1_y1esj7mf.mp4
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237 MB
4.3 Understanding the Default Regression Metric R^2-1_ur2v7gpn.mp4
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460.3 MB
4.4 Errors and Residual Plots-1_6oyh6r9k.mp4
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348.7 MB
4.5 A Quick Pipeline and Standardization-1_owjtdyq9.mp4
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315.3 MB
4.6 Case Study - A Regressor Comparison-1_ptued3au.mp4
MP4
392.3 MB
TutsNode.com.txt
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102.4 B
[TGx]Downloaded from torrentgalaxy.to .txt
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