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...
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 ...
...nd click Run. This produces four separate analyses that are grouped in one window. Now, we use the Effect Summary table to reduce the model for each response. We'll remove the e...
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...
...e select Diameter as Y, Response, Part as Part, Sample ID and Inspector as X, Grouping, and under MSA Method, we select Gauge R&R. The Model type is Crossed, because every inspector m...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show how to create side-by-side, comparative box plots for the Impurit...
...he file Measles.jmp. This data table includes data on the incidence of measles in the United States from 1928 to 2011. In this scenario, we want to create a new variable that groups data i...
...elect Diameter as Y, Response, Part as Part, Sample ID and Inspector as X, Grouping. This runs the Evaluate Measurement Process (or Wheeler’s EMP) measurement system analysis. A...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, you learn how to construct prediction intervals and tolerance intervals i...
...nterested in exploring the increase in mobile cellular subscriptions over time, across the different countries and regions. A bubble plot is ideal for this scenario. To start, we select B...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show how to fit a penalized regression model using generalized regression in JM...
Follow the guided examples in these videos to learn how to: Create a Validation Column (JMP Pro) Fit a Multiple Linear Regression Model with Validation Fit a Logistic Model with...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, you learn how to visualize and explore unstructured text data using the file Pet O...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show how to compare and select predictive models in JMP Pro. We use the data se...
...r combine terms that have the same meaning into one term, you can select the terms, right-click, and select Recode. For example, suppose that we want to group these two terms into one term, "dogs". W...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we use the Chemical Manufacturing data. We fit a logistic regression model for the...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show how to fit linear models using generalized regression. We use the Chemical...
...nalyze, then Predictive Modeling, and then Neural. We start by adding Performance as the Y, Response variable. We select the two groups of predictor variables as X, Factor. Y...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we use the Chemical Manufacturing 2 data. We fit a neural network model f...
...esponse variable and select the two groups of predictors as the X, Factors. This takes us to a specification window. Here, we can specify the number of trees in the forest, the number of terms t...