There is actually a simple way of fitting line to data in Octave using polyfit(x,y,1) which will give you directly the coefficient and slope. The "1" indicate the degree of the polynomial function.
Thanks a lot, i was stuck trying to figure it out myself, and i need to say you are reaaally good at explaining, i am really impressed, keep up the good work. Giving source code is also great, everything is great, it's just what i needed, simple example, i can do with it what i want, upgrade it and call it a day, thank you so much
Thank you, and greetings from Oregon, USA. The mathematics was familiar to me, but I was having trouble getting started using Octave, and this really helped! I appreciate your video and will look at others. One minor comment on your otherwise great English: it took me a minute to figure out that you were saying "pseudo-inverse" but it's typical to pronounce it with the "p" more-or-less silent and a long "u" = "oo" vowel sound. You can listen here: translate.google.com/?sl=en&tl=en&text=pseudo
There is actually a simple way of fitting line to data in Octave using polyfit(x,y,1) which will give you directly the coefficient and slope. The "1" indicate the degree of the polynomial function.
Thanks a lot, i was stuck trying to figure it out myself, and i need to say you are reaaally good at explaining, i am really impressed, keep up the good work. Giving source code is also great, everything is great, it's just what i needed, simple example, i can do with it what i want, upgrade it and call it a day, thank you so much
Thank you very much. I am happy to hear that.
Thank you so much, your video helped me a lot with my homework, greetings from Mexico!
I am happy to hear that
No file for downloading??? Where is that??
can you please tell how to apply the linear regression on a data set to predict some sort of price and the accuracy of predicted values
This would fall into the field of extrapolation. Good idea for a new video :)
how did you arrange the octave window into 3 compartments especially the right part please
Thanks for a nice and easy HowTo!
Nice tutorial, very helpful...
Greetings from India 🇮🇳
Pls sir make video on How EDA explore Data Analysis for ML Dataset....
Could you explain regression using gradient descent please🥺🥺
the scatter plot is not working even though I've copied your code exactly. any ideas?
What is the exact error printed by octave?
is this a dependent linear regression or independent
Danke!
Thank you so much!!!
Thank you, and greetings from Oregon, USA. The mathematics was familiar to me, but I was having trouble getting started using Octave, and this really helped! I appreciate your video and will look at others.
One minor comment on your otherwise great English: it took me a minute to figure out that you were saying "pseudo-inverse" but it's typical to pronounce it with the "p" more-or-less silent and a long "u" = "oo" vowel sound. You can listen here: translate.google.com/?sl=en&tl=en&text=pseudo