- Do your DXPs take forever to load?
- Would you like faster DXP load time?
It’s FRIDAY!!! I know you are all looking forward to the weekend, but I learned something new again this week and wanted to share it. This little tip is related to filers and special characters.
List Box Filters & Special Characters
It turns out, the solution is really simple. Just ignore the special character. Don’t type it, and the search function in the filter will work.
This week, I was able to test out the latest and greatest changes to the Ruths.ai Data Science Toolkit. New options and features allow users to easily split test and training data sets prior to model building, as all good data scientists should! This new functionality speeds up your analysis by making model build and evaluation faster and more efficient. I worked up this video to demonstrate.
Data Science Toolkit for Spotfire
The Data Science Toolkit brings the power of advanced data science to Spotfire. Ruths.ai designed it with simplicity and efficiency in mind to support a wide range of analytics applications. This extension is coupled with comprehensive training that provides both beginner and experienced users a strong foothold in data science analysis. The Data Science Toolkit is available to Premium subscribers. Once deployed on your Spotfire server, quickly and easily access the toolkit via the Tools menu as shown below. Find out more, including videos, at this link.
Please feel free to reach out to me or anyone else on the Ruths.ai team to learn more about this amazing product. We love to talk about it!
Last week in our Analytics Journey, we worked on variable selection in the Modeling stage of the CRISP-DM method. Having built a model, it’s once again time to see how it did with the Evaluation stage. One of the most important parts of evaluating a model comes in properly constructing a training and testing set for evaluation.
Welcome back everyone to our Analytics Journey series. Those of us in Houston have been through a trying time, and our thoughts are with the community. We will try to return to a semblance of normalcy by continuing where we left off in our journey.
With all of our hard work in understanding and preparing the data during previous steps of the CRISP-DM method–exploring data, choosing a model space, removing NULLs, removing Multicollinearity–it’s time to have some fun with the Modeling stage. Today, we’ll look at an aspect of Multiple Linear Regression: Forward and Backward Selection.
- Are you the Spotfire Administrator for your company?
- Do you have access to the Administration Manager?
- Would you like to learn about a few settings that you could change to make Spotfire more user friendly?