Global AI and Data Science

 View Only
Expand all | Collapse all

Regularized regression open-source extension procedure enhancements in SPSS Statistics Webinar

  • 1.  Regularized regression open-source extension procedure enhancements in SPSS Statistics Webinar

    Posted Wed August 31, 2022 02:19 PM
    Edited by System Fri January 20, 2023 04:41 PM
    Summary
    The latest version of IBM SPSS Statistics introduces a host of new statistical procedures, usability improvements, and improved open-source extension integration.

    In this webcast, you'll learn about three new Python-based regularized linear regression commands for handling models with highly correlated predictors, or even singularities resulting from problems with more predictors than cases.
    Key takeaways: 
    • Learn about new commands introduced within SPSS Statistics 29 for regularized linear regression modeling, fitting models using ridge, LASSO, and elastic net estimation 
    • See how models can be fitted using specific values of regularization parameters, produce trace plots of regression coefficients for specified sets of regularization parameters, and select values of regularization parameters using cross-validation. 
    • Simplify specification of analyses using command syntax or via graphical interfaces, so that analyses and output work as they do for native procedures

    Please join us in this on-demand recording. Share your questions below and  register to watch here.

    ------------------------------
    David Nichols
    IBM
    ------------------------------
    #GlobalAIandDataScience
    #GlobalDataScience


  • 2.  RE: Regularized regression open-source extension procedure enhancements in SPSS Statistics Webinar

    Posted Wed October 19, 2022 01:41 PM

    Hi everyone,

    You can watch the on-demand recording here and download the slides here.

    Please share any of your questions below.



    ------------------------------
    David Nichols
    IBM
    ------------------------------