Sometimes, rather than forecasting specific results, it is more useful to predict to which category your data will belong. In this course you’ll learn about classification models in Alteryx. You’ll explore the different techniques available for training and validating a predictive model and how these can be fitted to new datasets.
Advanced 13 Lessons 150 Minutes CPD Credits
About This Course
Delve deeper into the predictive modelling tools available in Alteryx. In this course you’ll explore the concept of classification models, and how they can be used to make predictions with future data.
You will prepare your data for classification. You’ll build classification models, including decision trees, naive bayes models, random forests and neural networks, analyzing the results of each. Finally, you will compare the different classification models.
By the end of this course, you will have a real sense of which model to use in each specific business case and you’ll have the skills necessary to incorporate the relevant data model into your Alteryx workflow.
Understand the applications of classification
Prepare data for classification
Build classification models, including decision trees, naive bayes models, random forest and neural networks
Analyze classification model results
Compare classification models