SciPy curve_fit: What is "pcov"?

[@eboatwright_]

wait..... you mean you're not a bird?

[@IndianGermanDiaries]

Lmfao

[@rammsund]

Nah, Billy just coded up a next level ML model that creates the human avatar you see

[@GabrieleIuzzolino]

Birds are not real bro

[@slvfelix]

Great explanation. Also love the basic ones such as the class video from zero. Please do more of those!

[@SubhadipDas1]

You should do a tutorial on Lmfit. It's really advanced and built on top curve fit.

[@GabrieleIuzzolino]

Thank you! Your tutorials are very clear and useful!

[@matteopiccioni196]

Nice 1. what if using the KDE instead the χ^2 to find the pdf of a set of data, sometimes distributed differently and with some "outliers"? 2. Why not to use the sklearn to fit quite automatically (without specifying the curve fit equation ) a set of data?

[@sirlimonada2]

What if I don't have an error for each point?

[@frankkoslowski6917]

It was discovered that plt.errorbar() does not tolerate any native yerr_data! Thus, your code needed to be modified as seen here: yerr_data = np.abs(0.1*np.random.randn(len(x_data))) YERROR MUST ALWAYS BE POSITIVE TO AVOID TRACEBACK ERRORS!

[@divyanshshrimali2651]

It raised an error even for error bar graph saying: ValueError: 'yerr' must not contain negative values

[@phunmaster2000]

at 11:01, are the parameters in the formula for a normal distribution flipped?

[@MrPSolver]

Ah yes, good catch!

[@aaatt268]

We don't want u. We want billy.

[@claveralvaro6245]

Wait guys ... where is the Birdie ?

[@JustSmile268]

hi billy

[@Fuxx90]

It should be N_i(0,1), because you defined N_i(µ, sigma) and always said that sigma should equal 1

[@Fuxx90]

otherwise, great video of course

[@henryclay2106]

I'm learning about probability density functions (pdf) and cumulative distribution functions (cdf) this week in class. I didn't realize how applicable statistics is to programming.

[@holthuizenoemoet591]

It's really essential in for example state-of-the-art machine learning. For example, the commonly used SoftMax function is used to turn an arbitrary vector into a pd.

[@robertoparreiras2369]

Without any doubt, the best videos on scientific applications of Python. Thank you very much.

[@StasFainer]

Great content! Hope that you'll continue making more of these videos :)

[@martinzapata7289]

Great explanation! Just in time before a lab session where I’ll have to do nonlinear fitting

[@gabrielzinatorosa3024]

I Imagine Billy trying to do this. Poor Billy. Not that I would do much better before watching the video 😅

[@ScienceVocalsMusic]

Wait why was i expecting a bird to appear?

[@sivadeepak4323]

Can you please do a video on linear programming in python with PULP library !!!

[@MrR3KK]

Awesome, simply a bull's eye explanation

[@antonioparesini912]

Where billy

[@nathanwebster1634]

😭 *PromoSM*

[@sambhavgupta4653]

You the best!