Gaussian Process Regression using Scikit-learn (Python)

[@broken_arrow1813]

Good explanation. It is heartwarming to hear a South African accent on a youtube video every now and then. My ML model predicts with a 90% probability that this speaker is from Pretoria.

[@reetbaidwan]

Very helpful video. Thank you so much ❤

[@Foxion7]

Do you have a link to your used dataset (the .csv file)?

[@spambot_gpt7]

Great video!

[@PehwPehwLasergun]

Could you please give an example of predicting your data set in the future? it would be very helpful to me, thank you ;)

[@MarceloFerreira-sm8sz]

Hi, how do I get error prediction?

[@sabbirahmad5472]

Can you please share the dataset? It would be really helpful.

[@mansoorsyed6232]

What is this to do 10,000 samples we need to write 10000 numerical values this code not very basic to use and understand for sample dataset

[@Subi_art]

can we use this code for gaussian process classification?

[@MeshRoun]

Absolutely.

[@stephen_wald]

Hello, this was a great tutorial and I really appreciate the help. I am wondering what np.random.seed(1) is used for within this code? Any explanation would be great! Thank you!

[@bL4ckGeniu5]

you set a random.seed to get the same "random" values every time you run the code. Otherwise results won't be comparable.

[@allaboutbts5204]

Hi can you share code file?

[@NikhilBapat]

Quite helpful, thanks!

[@dibyendusardar5947]

Hello i am a phd student. Recently I am learing the gaussian process regression and I also follows your discussion. can we communicate each other as i need a help from you for some points

[@swarnendusekharghosh9539]

Hello dibyendu i am phd student too and i have started working on GPR from last 6 months it will be great if we can get in touch for discussion .

[@dibyendusardar5947]

@@swarnendusekharghosh9539 we can communicate through email if you want!

[@coryreedrobbins]

I'm trying to learn this stuff too - engineer here. Have you guys found any interesting resources?

[@swarnendusekharghosh9539]

@@coryreedrobbins Hey Cory you can surely check out the Gaussian process lectures of Nando De Freitas ( kzbin.info/www/bejne/g5erfIprr5KChaM) they can help you get a really good idea. The playlist of the machine learning course is pretty good actually. I had taken the above-mentioned Udemy course for my own understanding it gives you a fairly good intuition too as a beginner-level course. It is a bit hard to understand GPR from research papers, do read the book of Rasmussen and Williams and can also refer to this particular blog of Martin Krasser (krasserm.github.io/2018/03/19/gaussian-processes/) and can check out some videos of GPSS, the summer school of Sheffield university is pretty good too.

[@footballsurvey8097]

Hello

[@boriaify]

Line 32: instead of writing down the whole list you can do: [float(x) for x in range(0, 178)] - much simpler