Introduction To Ordinary Least Squares With Examples

Looking to learn about Ordinary Least Squares? Ordinary Least Squares, or OLS, is a powerful tool for unlocking the mysteries of data. This method takes the guesswork out of linear regression analysis, providing you with clear and concise insights into complex relationships between variables. Whether you're a data analyst, researcher, or student, understanding OLS is essential for making informed decisions and solving real-world problems. Watch the video to find out more!
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[@sds-superdatascience]

Thank you for subscribing and following our videos. You can find the course HERE:sds.courses/python-ml-level-1

[@noyan9924]

The clearest explanation of the OLS regression I heard. Thanks a lot!

[@genretypebeats4612]

Really and truly... Thanks. I appreciate this so much

[@Rubyruby447]

I just started watching this video, I'll let you guys know when i finished it

[@westwood2678]

So ordinary least squares is used to fit the linear regression. It defines the best line as the line that minimises the sum of the residuals squared. Would I be accurate for comparing OLS to Gradient Descent? As to say that when fitting a linear regression I am free to choose between OLS and Gradient Descent as two different optimisation algorithms?

[@turkialajmi5592]

hi bro, have you found the answer?

[@westwood2678]

@turkialajmi5592 I'd like to believe it's true 👍