STIPS Module 7: Predictive Modeling and Text Mining
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
Statistical Thinking for Industrial Problem Solving is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprise...
...elect the two groups of predictors as the X, Factors. There are different options for using model validation in JMP Pro. One method is to specify a holdout portion. For example, we can hold 4...
...he two groups of predictors as the X, Factors. The horizontal line in the partition graph shows the mean of Yield, 82.86. Each point is plotted at its Yield value on the Y axis and is r...
...ariable. Then we select the two groups of predictors as the X, Factors. The horizontal line in the partition graph shows the overall acceptance rate. When Performance is Accept, t...
...ass, and the most likely outcome based on the cutoff of 0.50. The two probability columns are grouped in the column list. We add a new column, and name this column [Cutoff Prob F...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we use the Impurity example and fit a model for the categorical response,...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this example, we fit a predictive model for Impurity using Fit Model with all main ef...
...alidation sets across these columns. This is often used when you have categorical input or output variables. We can also enter a grouping column, or enter a cutpoint column. Click the Help b...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show how to do a Monte Carlo simulation in JMP using the Prediction Pr...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show you two ways to create central composite designs in JMP. First, w...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show how to generate a screening design using the Custom Designer in J...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, you learn how to create 2 k-r fractional factorial designs in JMP. We’ll...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show you how to analyze full factorial experiments in JMP using the fi...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show how to design full factorial experiments using the Full Factorial...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we use the MetalCoating example and fit a model for the response, Outcome...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we use the Impurity Logistic example and fit a model for the response, Ou...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we use the Bodyfat data to explore multicollinearity in JMP using all the...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we see how to use the Effect Summary table for variable selection using t...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this example, we again fit a model for Impurity using Fit Model. But this time we add...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this example, we again fit a model for Impurity using Fit Model. But this time, we al...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this example, we continue where we left off in the previous JMP demo. Recall that we ...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we use the Impurity example and fit a model for the response, Impurity, w...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this example, we use the Cleaning data and fit a multiple linear regression model for...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we explore the FreeFall data using the Graph Builder, and see how to fit ...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we again use the Cleaning data to fit a regression model for Removal and ...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we use the Cleaning data to fit a regression model for Removal and ID usi...