Model Development, Validation, & Evaluation

Predictive Analytics    |    Intermediate
  • 13 Videos | 59m 39s
  • Includes Assessment
  • Earns a Badge
Likes 73 Likes 73
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

  • 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

  • Playable
    1. 
    Model Building Process and Data Discovery
    5m 54s
    UP NEXT
  • Playable
    2. 
    Data Cleaning and Preparation
    3m 17s
  • Locked
    3. 
    Data Preprocessing and Model Building
    8m 1s
  • Locked
    4. 
    Considerations for Model Performance
    4m 12s
  • Locked
    5. 
    Model Complexity and Resampling
    3m 20s
  • Locked
    6. 
    Model Validation
    2m 38s
  • Locked
    7. 
    Descriptive Model Evaluation
    3m 38s
  • Locked
    8. 
    Mean Squared Error Measures for Prediction
    3m 1s
  • Locked
    9. 
    Variation Measures for Prediction
    4m 43s
  • Locked
    10. 
    Evaluating Classification Models
    4m 18s
  • Locked
    11. 
    Lift and Gain Charts
    3m 35s
  • Locked
    12. 
    ROC and AUC
    4m 15s
  • Locked
    13. 
    Exercise: Evaluate Classification Models
    2m 48s

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