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URL:https://www.learndesk.us/class/5464434182979584/lesson/53a86063890c7069ee6a7feccdf30a62?ref=outlook-calendar
SUMMARY:Understanding Support Vector Machine (SVM) for Regression
DTSTART;TZID=America/Los_Angeles:20260504T190000
DTEND;TZID=America/Los_Angeles:20260504T200000
LOCATION:https://www.learndesk.us/class/5464434182979584/lesson/53a86063890c7069ee6a7feccdf30a62?ref=outlook-calendar
DESCRIPTION: 
Support Vector Machine (SVM) algorithm was developed for solving classification problems. However, this was found to be good for solving regression problems as well. SVM algorithms are very good to make good predictions for models where large outliers exist and also when there are missing values in the data set.


https://www.learndesk.us/class/5464434182979584/lesson/53a86063890c7069ee6a7feccdf30a62?ref=outlook-calendar
STATUS:CONFIRMED
SEQUENCE:3
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