Curve fitting in Python with curve_fit

[galaxysplus]

Thank you, Sir! This was brilliant. Such a difficult topic so nicely explained. I learned very much by watching this video and going through your example code as well.

[hsinghal]

That was brilliant. It was really hsrd to go through the mathematical jargon available on internet. Thank you for nice explanation.

[lktyagi]

Aamzing job! I have seen so many shallow people delivering heavy concepts but you just nailed everything down to the details..Awsome Job..

[ARBB]

I accidentally ignored this video; *my savior has finally returned*

[rafaelem]

If I could give you 200k likes I'll do it. I love your simple explanation of the covariance interpretation

[giovannisucci]

Thank you for this lesson Dr. Carlson. Very nice and clear.

[marextrem]

Thanks for the Videos, Please keep going, science deserves it !!

[nkanyisombatha]

Very nice video
Brant Carlson. You may have forgotten that it is t^2 at 4.o6 min. Thanks a lot for this best class.

[dainisk]

What an absolute unit. Great cheers to you, mate, you saved my ass big time. Bonzer job on explaining the material better than my profs

[PotatoForce]

This video is awesome. Thank you very much for the detailed explanation

[PatrickBrowne]

Thanks for the video and the code examples ! It was very easy to build upon.

[anfilaot]

You saved me, and I wish you had more videos!!!

[aneedfortheory]

Hello Brant. Great video! One thing though. Is your formula for the chi-squared statistic correct? I appreciate your detailed explanation of the formula but when I tried to source the formula online, the division of each of the n terms isn't by the uncertainty in the respective terms/contributions but rather the contributions themselves. There is another formula in which the mean is subtracted from each of the data values and then divided by the uncertainty. Is this latter expression the one you were after?

[oAbraksas]

What if there are errors on both axes?

[paulbalduin]

how do I include an uncertainty in both the x and the y value? does curve_fit only work for fits that include only the uncertainty for the y variable?

[canowow]

incredible video, thank you very much

[KarthikeyanMmmm]

hello sir, is there any similar package in python as curve fit, in which we can able to impose some constraints ( like suring regression at a particular point slope should be a specific value) during regression, or is there any posiblity in curve_fit to impose some constraints

[tonycardinal]

Thank you so much for posting this. Ques: If there is a high covariance between the parameters why is this bad? I'm not understanding why this would be bad. thanx!

[coscinaippogrifo]

Can someone tell me where I can find the library for that interact function called at 13:45, please?

[arupmarik]

Sir please upload more Videos on physics like old quantum theory..etc