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IBM SPSS Predictive Analytics

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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.

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  6. Simple_Linear_Programming_with_CPLEX Simple_Linear_Programming_with_CPLEX Public

    Simple Linear Programming with CPLEX

    Python 16 16

Repositories

79 results for all repositories written in Python sorted by last updated
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  • STATS_POPULATION_DESCRIPTIVES Public

    Descriptive Statistics for a Population.

    Python 0 Apache-2.0 0 0 0 Updated Jun 3, 2024
  • STATS_EXTENSION_REPORT Public
    Python 0 Apache-2.0 0 0 0 Updated May 24, 2024
  • SPSSINC_MODIFY_TABLES Public

    Modify the appearance of pivot tables.

    Python 2 Apache-2.0 1 0 0 Updated May 24, 2024
  • STATS_MAKE_CATALOG Public

    Build a dataset of variable information from multiple datasets.

    Python 0 Apache-2.0 0 0 0 Updated May 17, 2024
  • STATS_PACKAGE_INSTALL Public

    It installs Python or R modules needed by a begin program block or an extension command whose install did not install them. This will make this process easier than the current means and reduce the difficulty of installing packages that need items from PyPI or CRAN. It is not uncommon for CRAN packages not to list all their dependencies.

    Python 0 Apache-2.0 4 0 0 Updated May 17, 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
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