Predicting Mortgage Default with the Minitab Predictive Analytics Module
Learn how Minitab Predictive Analytics can help minimize the number of mortgage defaults by predicting what customers are likely to default in the future.
Why Chemical Engineers Should Get to Know ANOVA
Learn how chemical engineers can use Analysis of Variance (ANOVA) to compare the means of measurements across groups.
Analyzing Bitcoin Data Using the Minitab Predictive Analytics Module
Minitab Senior Advisory Data Scientist, Mikhail Golovnya, demonstrates how to use Minitab Predictive Analytics Module to identify Bitcoin trends.
Learning to Love Correlograms in the Latest Minitab Release
Learn why correlograms, among the new visualizations as part of the recent Minitab release, are such popular and useful tools for advanced analytics.
Demystifying Feature Engineering for Machine Learning
Explore the importance of feature engineering for machine learning, how it relates to data manipulation and learn proper technique application in Minitab.
Enhancing and Digitizing the Customer Experience in Financial Services
Explore two examples about automation and harnessing data analysis to enhance and digitize your customers' experience in the financial services sector.
Celebrate the Holidays: Using DOE to Bake a Better Cookie
Have you ever used Design of Experiments (DOE) to bake the best holiday cookies? Learn how you can with Minitab Statistical Software in this blog.
Five Hot Ways to Use Heatmap Visualizations
Heatmaps have been added to the latest version of Minitab Statistical Software! How much do you know about them and their use?
Get a Sneak Peek at CART Tips & Tricks Before You Watch the Webinar!
I'll be sharing tricks for Classification and Regression Tree (CART®) models in Minitab Statistical Software in a webinar. Read on to get a sneak peek.
Understanding Customer Satisfaction to Keep It Soaring
Customer satisfaction is a key metric for any business. Learn how CART in Minitab can help airlines understand how and why their customers are satisfied.