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@IBMPredictiveAnalytics

IBM SPSS Predictive Analytics

Extensions, Samples and much more

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  1. R_Essentials_Statistics R_Essentials_Statistics Public

    Download R Essentials required for SPSS Statistics

    R 43 22

  2. R_Essentials_Modeler R_Essentials_Modeler Public

    Download R Essentials required for SPSS Modeler

    R 19 6

  3. IBMPredictiveAnalytics.github.io IBMPredictiveAnalytics.github.io Public

    Organization page

    CSS 17 8

  4. BigDataUniversity_SPSSFundamentalsI BigDataUniversity_SPSSFundamentalsI Public

    Training material for Predictive Modeling Fundamentals I hosted in BigDataUniversity

    17 19

  5. Model_Random_Forest Model_Random_Forest Public

    Classification and regression based on a forest of trees using random inputs, utilizing conditional inference trees as base learners.

    16 24

  6. Simple_Linear_Programming_with_CPLEX Simple_Linear_Programming_with_CPLEX Public

    Simple Linear Programming with CPLEX

    Python 16 16

Repositories

Showing 10 of 251 repositories
  • IBMPredictiveAnalytics.github.io Public

    Organization page

    CSS 17 8 0 0 Updated May 3, 2024
  • STATS_NTILE_ANALYSIS Public

    This procedure, also known in the literature as decile analysis, produces a table and charts that group the predicted probabilities from a classification procedure such as logistic regression, trees, and SVM into ntiles in order to better understand their distribution and to assist in using these for formulating decision rules.

    Python 0 Apache-2.0 0 0 0 Updated May 3, 2024
  • STATS_LINEAR_ELASTIC_NET_REGRESSION Public

    Fits linear elastic net regression models using Python sklearn classes.

    Python 0 Apache-2.0 0 0 0 Updated Apr 23, 2024
  • STATS_LINEAR_RIDGE_REGRESSION Public

    Fits linear ridge regression models using Python sklearn classes.

    Python 0 Apache-2.0 0 0 0 Updated Apr 23, 2024
  • STATS_LINEAR_LASSO_REGRESSION Public

    Fits linear lasso regression models using Python sklearn classes.

    Python 0 Apache-2.0 0 0 0 Updated Apr 23, 2024
  • krr Public

    Fits kernel ridge regression models using the Python sklearn.kernel_ridge.KernelRidge class to estimate a kernel ridge regression of a dependent variable on one or more independent variables with specified model hyperparameters, or selection of hyperparameter values over a specified grid of values via crossvalidation by also using the sklearn.mo…

    Python 0 Apache-2.0 0 0 0 Updated Apr 23, 2024
  • PLS Public

    Partial least squares regression

    Python 9 Apache-2.0 2 0 0 Updated Apr 15, 2024
  • STATS_EXTENSION_REPORT Public
    Python 0 Apache-2.0 0 0 0 Updated Mar 14, 2024
  • STATS_MAKE_CASES Public

    A conversion of the custom dialog to make a dataset of random data according to any of the distributions supported in the rv.* functions plus the triangular distribution.

    Python 1 Apache-2.0 0 0 0 Updated Feb 7, 2024
  • STATS_UPDATE Public
    CSS 0 Apache-2.0 0 0 0 Updated Nov 29, 2023
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