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What’s Included
Introduction to Predictive Modelling
Introduction to Predictive Modelling
This lesson lays the foundation for the predictive modelling course, setting out the business need and making some fundamental changes to the dataset to facilitate onward analysis.
Understanding Decision Tree Models
Understanding Decision Tree Models
Decision tree models are the foundation for a number of predictive models in Alteryx. In this lesson you will learn what a decision tree model is and how it can yield predictive results.
Configuring Decision Tree Models
Configuring Decision Tree Models
In this lesson, you will learn the formative steps to take when deploying your first decision tree model.
Decision Tree Outputs
Decision Tree Outputs
Having successfully deployed your first decision tree model, in this lesson you will learn how to analyse the decision tree report output, including reading a 2 x 2 confusion matrix.
Comparing Decision Tree Models
Comparing Decision Tree Models
Learn how to simultaneously deploy a range of decision tree models with contrasting predictor variables and compare the resulting output.
Validating our Model
Validating our Model
In this lesson, you will learn how to validate various trained models and contrast their performance using a lift chart.
The Confusion Matrix
The Confusion Matrix
In this lesson, we'll take a deeper look at the different values in the confusion matrix, and how to calculate them.
Calculating Confusion Matrix Values
Calculating Confusion Matrix Values
Using the Score tool to yield values for your target field, in this lesson you will learn how to convert those values into confusion matrix summary data.
Adding a Boosted Model
Adding a Boosted Model
Developing your knowledge of Alteryx predictive model tools, in this lesson you will learn how to train a boosted model on your dataset.
Adding Other Advanced Models
Adding Other Advanced Models
Three further Alteryx predictive models are introduced in this lesson.
Comparing Model Accuracy
Comparing Model Accuracy
Learn how to combine multiple predictive models, compare their respective accuracy and rank the models accordingly.
Exporting Model Object
Exporting Model Object
Having successfully learned how to train and validate a range of predictive models, in this lesson you will learn how to export your preferred predictive algorithms for subsequent use.
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