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Have you ever tried to explore those mysterious tools with an R in the lower right-hand corner and been too confused to continue? Or have you not even installed the Predictive, Time Series, and Predictive Grouping tools? Well, here’s your chance to clear through your fog of confusion and utilize these powerful tools.
Does this sound familiar? You just watched a fantastic demonstration for advanced users on regression modeling. You think (who wouldn’t?!) “These tools look amazing…imagine what I can do!” So you jump into Alteryx and start plugging in your data! “BUT WAIT! What are all these error messages?!” Don't give up! Read this instead!
Want a way to interactively explore the relationships between products based on their attributes? Trying to understand the results of a market basket analysis? Alteryx provides the solution by combining predictive tools with the Network Analysis Tool.
Support Vector Machines (SVM) is a popular supervised learning algorithm. It has been shown to perform well in various settings and is generally considered as one of the best “out of the box” classifiers . Although SVM is best known for its classification capability, it can also be extended to regression (SVR) and outlier detection (one-class SVM). Some research has shown that SVR is robust and insensitive to outliers.
You’ve blended your data. Cleansed it. Trained your model. Made more models. Tweaked them. Compared them. You’ve picked THE BEST model. It’s perfect. Now what? You need to get the rest of your organization using your model in a live production environment.
The process of expanding the capabilities and improving the performance of Alteryx's predictive analytics tools continues with Alteryx's 9.1 release. Specifically, we have added new tools for data investigation, predictive modeling, and time series analysis, and have made improvements and added new features to a number of existing tools as well, including the AB testing tools. Here, these additions, improvements, and enhancements are described in more detail.