@Ossigen8
I don’t comment often videos but this one is really good, you explained the math concept really well by doing the examples on the graph etc… Good stuff in this channel !
@cambridgebreaths3581
I do like all your videos that contain the keywords "mathematical theory" and "from scratch" :). Please do more similar videos. Thank you kindly
@mohammadf9646
well done
@PML37
That was just wow! The way you explained it was amazing. Thank you!
@nasr-rsln
this video is amazing, good job, im now actually thinking about re visiting the math classes i couldn't take before in order to get better at these machine learning algorithims.
@vardhanr8177
AMAZING video!!! I love these videos which teach theory too! Thank youuu!!!
@dragnar4743
Damn !! I like your video so much, especially the implementation part. Most of the people would just directly use sklearn library and call it a day. But, you really have showed how the code actually runs behind the scene. 👍👍💛💛
@zukofire6424
Thanks very much for this!! I am a data analysis student and close to giving up but still hanging on!
@curtezyt1984
on 10:00 we need to take derivative of each weight (M) like this, first for M1 then for M2 then M3.... to Mn
@mango-opinions
I recently stumbled upon this while looking for similar approach via python and I subscribed you now. Thank you very much for imparting knowledge.
@santrix1595
dude Slammer video!! love the fact that you made the math interesting and super easy to understand
@unknowncorsairtim
Awesome tutorial! Could you please explain why you use gradient descent to minimize squared error instead of using the formula: divide the standard deviation of y values by the standard deviation of x values and then multiply this by the correlation between x and y?
@graphicsguy1965
Thanks man! Awesome video that dumbed it down enough for me. Could you do linear regression of fitting a sphere to points given the sphere radius (or not) like is used in terrestrial laser scanning? If you've never messed with it, you place spheres around what you are scanning, then the software uses the spheres to align all of the different scans at different locations together.
@bluestar2253
Yes, please do more videos like this one. Even Einstein gives it 2 thumbs up! :)
@atrumluminarium
It would have been nice to compare it to the analytical solution of least squares regression being (Xᵀ•X)⁻¹•(Xᵀ•Y) just to show they're identical
@SabarishanM
I was searching everywhere and final found what I need. Your video really clears up the fundamentals of creating Linear Regression Model. Thank you
@yxyyy
Next for logistic regression please!
@AkhilendraOjhaBME
Greatly explained in simple words, looking forward to learn more methods from you.
@LyamanOsmanlı
hi , really you have the best videos in youtube. Your speaking is also very clear for me although my native language is not English. Thanks you very much it helps me very much , and i am in 17 years old.I want to improve and in my this way you help me.
@NerdyPickle-moe