Degrees Of Freedom Explained | What is Degrees of freedom | Degrees of freedom in statistics

[@sufwansadiq6644]

Simple concise and to the point

[@rereer-c6v]

This explanation blew my mind, sir. Washed away all wrong concepts. Thank you

[@somanathking4694]

very clear and constructive!

[@swapnanil7053]

Quite Informative, thank you sir

[@tanayapanda1636]

Unique topic

[@UnfoldDataScience]

Thank you.

[@souravbiswas6892]

I have the issue understanding the DOF since last 5 years, but now I can say yes I got some idea. Thank you. 🙂

[@UnfoldDataScience]

Glad it helped you

[@balipavankalyan5008]

nice

[@billinioreteachings]

Very good effort sir

[@UnfoldDataScience]

Thanks a lot.

[@unbiasedcrook9157]

Sir can you please answer these two questions or share important links/references. Q1. Why it is desired for each feature to be normally distributed in case of regression problems? Q2. When we apply log-transformation on data to get normally distributed data, aren't we changing the data?

[@UnfoldDataScience]

I may have to create a separate video. Will do.

[@Julaiarvind]

Q1) residuals should be normally distributed as if the data is normally distributed we can make use of normal distribution and select the relevant features based on P values and considered model coeff. Q2)Applying transformation doesn't change the context of the data as the original value is represented by some other function.

[@abhibadanghosh1309]

thank you so much sir ❤

[@SteinMan22]

Great explanation, thank you!

[@UnfoldDataScience]

Welcome.

[@divyateja939]

Degrees of freedom can be negative

[@seemadatey1888]

Sir bahut complicated kar ke bataya aapne😢😢

[@gokulsphysicsstation2560]

Nthng getting No clarity

[@UnfoldDataScience]

Thank you for feedback. Will look into.