Curve fitting in Python with curve_fit

[@galaxysplus2011]

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.

[@hsinghal1]

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

[@lktyagi88]

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

[@marextrem1]

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

[@giovannisucci5624]

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

[@ARBB1]

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

[@rafaelem7174]

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

[@nkanyisombatha5384]

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.

[@dainisk586]

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

[@Chatterjeepal]

THE BOI IS BACK :bless::bless::bless::bless::bless::bless::bless:

[@anfilaot]

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

[@PotatoForce42]

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.

[@XanderGouws]

HE'S BACK BOYS

[@samuelhughes]

You saved me man, thank you so much

[@sjamielm]

Great job and very useful content

[@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?

[@AlenvertDiexon]

Hello Brant, thanks for the great video. I also know the formula with ((Observation-Expectation)**2) / Expectation.

[@jeremyblow1603]

See "reduced chi-squared statistic" which uses a weighted sum of squared deviations.

[@tonycardinal413]

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?

[@mclark23]

Excellent. I like the math lesson!!!!!!!!!!!

[@canowow11]

incredible video, thank you very much

[@000bHd000]

OH SHOOT HE BACK

[@tritruong7867]

PROFESSOR I MISSED YOU :D

[@oAbraksas]

What if there are errors on both axes?

[@arupmarik]

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

[@ayanwoyegideon8058]

Great video. I am working on a task that involves curve fitting a curve on another curve (or say data points) and I can't seem to be getting it. The curve I want to fit was generated with a UnivariateSpline of degree 5 and hence don't know how to generate it's mathematical function/representation that I can use with the curve_fit function. I need help please.

[@TheAteris1]

It was a very nice "lecture", would it be possible to get one on the ODR package to fit in python?

[@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?

[@cd8836]

Thank you!

[@maxhansen5166]

very good tutorial. However it would be much better to have the imports on the slides or maybe at least import the packages with aliases. Would make it much more convenient to follow, particularly if you don't have the exact function assignments present.

[@igoaaronlu8142]

good job thank you

[@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

[@mariohernandez6905]

Thank you very much!

[@murilotimo]

Excelente aula, Muito Obrigado.

[@mclark23]

You know, I've taken may statistical classes (but not in college) and a lot of this is new...

[@andrzejolczak8924]

What kind of device do you use for handwriting?

[@saidteacher3331]

Doctor how important for a physics student Masters to know coding?.

[@theojaya7798]

virtually none. i graduated with a physics degree with very little coding skills, i only knew very basic matlab because thats all you need really. But seriously please learn how to code even just the basiscs, help a lot with calculation and projects

[@albasitdanoon7211]

excellent video, thanks. what if we dont have a mathematical function, I have two columns of data, one observed and one expected , how would that look like in python script? Thanks.

[@vanarsamadi]

Plot first your data, and then look for a model that have the shape of the data Plot

[@tritruong7867]

Can we get more advanced topics in QM pls???? thanks professor!

[@ing.nicola1706]

wath do you use for writing on video ?

[@XanderGouws]

Would you consider making a video about how the curve_fit() function works?

[@pAulseperformance]

This is exactly what is needed

[@goose_clues]

why don't you just read the *Fine* manual.

[@harsharajendran41088]

how to put initial conditions for gaussian model

[@colessa366]

can you please do actual work in python? The theory is good but I didn't understand a thing about how actually code from scratch.

[@neopalm2050]

you're back?

[@b354ramen8]

dear proffosor Hi : we waiting elektromagnetic theory lecture. So ?

[@mclark23]

I made a folder called "Great" and I put the link to this there...

[@trouserpython3857]

Thanks bro

[@r2ei64]

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