Model Development, Validation, & Evaluation
Predictive Analytics
| Intermediate
- 13 Videos | 53m 39s
- Includes Assessment
- Earns a Badge
Analytic model management ensures that models are not only superior to alternatives, but they also meet or exceed current business needs. Examine the process of building, validating, and evaluating a predictive analytics model.
WHAT YOU WILL LEARN
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recognize key phases in developing a modelrecognize important aspects of data preparation for model developmentidentify key functions in the model creation processidentify key considerations of model validationbalance model complexity with overfittingidentify features of two-fold validationrecognize key features of Occam's Razor
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calculate mean squared error measuresrecognize prediction variation measuresrecognize evaluation measures for classification modelsinterpret lift and gain chartsinterpret ROC curves and AUCdetermine the superior classification model
IN THIS COURSE
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1.Model Building Process and Data Discovery5m 54sUP NEXT
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2.Data Cleaning and Preparation3m 17s
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3.Data Preprocessing and Model Building8m 1s
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4.Considerations for Model Performance4m 12s
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5.Model Complexity and Resampling3m 20s
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6.Model Validation2m 38s
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7.Descriptive Model Evaluation3m 38s
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8.Mean Squared Error Measures for Prediction3m 1s
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9.Variation Measures for Prediction4m 43s
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10.Evaluating Classification Models4m 18s
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11.Lift and Gain Charts3m 35s
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12.ROC and AUC4m 15s
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13.Exercise: Evaluate Classification Models2m 48s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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