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URL:https://www.learndesk.us/class/5464434182979584/lesson/185a10c05cad5dcbc07e0cd852e16e6c?ref=outlook-calendar
SUMMARY:Scaling Variables
DTSTART;TZID=America/Los_Angeles:20260504T190000
DTEND;TZID=America/Los_Angeles:20260504T200000
LOCATION:https://www.learndesk.us/class/5464434182979584/lesson/185a10c05cad5dcbc07e0cd852e16e6c?ref=outlook-calendar
DESCRIPTION: 
The features or the independent variables will have their own range of values. Now, some values will be large and some will be small. For example, if we have housing data, the number of bedrooms will be possibly 1-digit numbers and the square feet of the house will be in hundreds or thousands.
The variables which have a higher range of values will influence the regression equation more. So, it is required to scale all the variables to a similar range so that each variable has a more or less similar influence on the regression equation.
In this video, we will discuss scaling methods of min-max scaling and normalization.


https://www.learndesk.us/class/5464434182979584/lesson/185a10c05cad5dcbc07e0cd852e16e6c?ref=outlook-calendar
STATUS:CONFIRMED
SEQUENCE:3
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