Model Development, Validation, & Evaluation

Predictive Analytics    |    Intermediate
  • 13 videos | 53m 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

  • 5m 54s
    Upon completion of this video, you will be able to recognize key phases in the development of a model. FREE ACCESS
  • 3m 17s
    After completing this video, you will be able to recognize important aspects of data preparation for model development. FREE ACCESS
  • Locked
    3.  Data Preprocessing and Model Building
    8m 1s
    Learn how to identify key functions in the process of creating a model. FREE ACCESS
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    4.  Considerations for Model Performance
    4m 12s
    In this video, you will learn how to identify key considerations for model validation. FREE ACCESS
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    5.  Model Complexity and Resampling
    3m 20s
    During this video, you will learn how to balance model complexity with avoiding overfitting. FREE ACCESS
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    6.  Model Validation
    2m 38s
    In this video, you will learn how to identify features of double validation. FREE ACCESS
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    7.  Descriptive Model Evaluation
    3m 38s
    Upon completion of this video, you will be able to recognize key features of the Occam's Razor principle. FREE ACCESS
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    8.  Mean Squared Error Measures for Prediction
    3m 1s
    Find out how to calculate measures of mean squared error. FREE ACCESS
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    9.  Variation Measures for Prediction
    4m 43s
    After completing this video, you will be able to recognize measures of prediction variation. FREE ACCESS
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    10.  Evaluating Classification Models
    4m 18s
    After completing this video, you will be able to recognize evaluation measures for classification models. FREE ACCESS
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    11.  Lift and Gain Charts
    3m 35s
    During this video, you will learn how to interpret lift and gain graphs. FREE ACCESS
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    12.  ROC and AUC
    4m 15s
    Find out how to interpret ROC curves and AUC values. FREE ACCESS
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    13.  Exercise: Evaluate Classification Models
    2m 48s
    Learn how to determine the best classification model. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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