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 model
recognize important aspects of data preparation for model development
identify key functions in the model creation process
identify key considerations of model validation
balance model complexity with overfitting
identify features of two-fold validation
recognize key features of Occam's Razor -
calculate mean squared error measures
recognize prediction variation measures
recognize evaluation measures for classification models
interpret lift and gain charts
interpret ROC curves and AUC
determine 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
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.
