Tutorial 35- Logistic Regression Indepth Intuition- Part 1| Data Science
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- Опубликовано: 18 июн 2024
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i really can't describe how many platforms i went through like statquest, datacamp, geeks for geeks, stanford, udemy ,towards data science and much more but never saw such explaination . this is the first time when i am commenting on a youtube video .your work made me do so .you are seriously a great teacher krish . thanku for sharing your knowledge in such a clearer way.
Yep coming from StatQuest.....
Me too
I think it is even better than 3blue1brown's explanation. Don't you think so?
try applied Ai course
Other sites just discus about the code. I believe a ML engineer should have a good knowledge of some aspect of maths and statistics
your channel has brought a huge transition in our lives , especially people who are looking for a career transition. Thank you and your channel for sharing your knowledge and making it easy for us .
You're one of the reason for me to dive in data science community. I learned from your videos and interesting , felt more to learn. Thank you Krish.
Having watched many videos related to difference b/n LinR and LogR, nobody explained in this way. I think this is what makes stand out. Just fabulous!
Sir, you are my role model...
Your aim " sharing knowledge " is incredible... #Keep going
Saying Thanks is not enough to KRISH Sir...Daily, Your Video make's my Day fullfillment.....Praying God to have grace over you all the time...
I must say Sir you are genius. What an explanation of logistic regression. It's awesome and so simple that anybody can understand. If you watch this video twice you will never face any problem in future to explain logistic regression.
Superb explanation on why we should go for Logistic Regression. I don't think we can find this kind of clear explanantion in most of the channels. Thank you for presenting us the concept in easy and beatiful manner.
Your explanation is beyond excellence... After a lots of traveling finally I find a outstanding platform to learn data science.. I am pursuing Ph.D in machine learning.. And this tutorials make my PhD interesting...thanks a lot...
I did Data science program with simplilearn and also reffers much yt channels bt ur the guru we need. much simple language and clearer concept thnx
Superb explanation.Earlier i was always confused about logistic regression and linear regression as I was unable to understand the mathematical intuition behind it.This is mainly asked as interview questions in product based companies I guess. Thanks Krish.
Amazing Krish.. thanks for such effort to explain it so easily. You are our Andrew ng
I love these videos. You make this puzzling stuff seem so accessible.
this is much easier and simpler to understand than what was taught in paid course ..thankyou so very much .You made life simpler for non ML background guys like me .
This is the best explanation I've seen about this topic. Thank you very much, Sir.
You are amazing ... was having a long run doubt of why to use logistic regression ... fantastic explanation. Great Work .. Much Appreciated.
Superb content & direct to the point of discussion without wasting much time.
Thanks krish,
Simple concept but the explanation you gave was quite powerful so that we will remember the core concept... Thanks Krish 👍
Currently pursuing my MS in Data Science and Business analytics, this is the most simple and clear explanation on Logistic regression!! Good work Krish:)
This is what happens when you really want to teach and its not all about the money.
Krish took the time not just to teach the concept but also connect it to reality.
Good stuff boss.
Hope the quality of your work only increases.
Krish bro you are the best and your contents are magic over the internet!!
one of the best tutorials.I just love it
Excellent lecture sir, i am going to watch the entire playlist. Keep up your good work. All the very best sir.
You are a really great teacher. Thank you for sharing this.
one of the few videos that I've watched in 1.25x and not 2x. On point
tutorial 34 was clarified my doubts, I am waiting for part 2 & 3 of performance metrics for Classification problem in ML. Please upload the part 2 & 3 of tutorial 34 sir.
Sir you are the best teacher from youtube
May Almighty bless you
Best ever explanation thanku so much for your effort👏👏👏
Brother take my gratitude. Huge respect for you.
explanied very clearly and in short, keeping going. all the best sir.
Awesome explanation Sir, m waiting ur video on daily basis, sir plz upload maths behind every algorithm, which is helpful for us
finally i understood the concept behind it :)
thank you soo much sir
you are great sir ,your lecture help me lot to clear the concept in ML ..
Wow sir, abhi pura upgrad ka module padha but know chahiye tha logistic ab samagh aya
🤩🤩🤩
its really wow!! thank you so much sir for this beautiful explanation.
Thank you bro please continue it helps a alot
Very clear explanation! Looking forward to more videos!
Sir your lecture series has made my learning simpler. Thank you. If possible, please build a playlist of different neural networks.Best Regards
Great lecture, thankyou so much for everything
bro this comment has just came straight from my heart even the andrew ng have not explained with that much clarity even though i know you somewhere learn but your explaination is quite well as i have done ML from 2,3 online courses but i will check whole your playlist again only for the deep understanding of math behind it
andrew explained it really well , but he uses more complex language which is harder for us to relate to. I understood andrew really well too after watching his logistic regression videos twice each.
bro every youtuber learns from andrew ng
Sir I love when you say the word-------> "UNDERSTAND" :p :p
Best explanation so far!
Awesome sir👌... superb explanation 🙏... please continue to upload videos sir.
Thank u so much sir... Very good info 👍👍
Krish sir, you are the best....
You are an amazing person. I hope you know that.
Awesome explanation sir. Mind blowing
Very nice explanation! Definitely helped my intuition.
Great Explanation sir, Thank You
Lectures of krish & Andrew ng course on ml is a nice combo..!! 😁
Thanks a lot for your amazing videos 💜
amazing stuff
Thanks for sharing your another great tutorial
Very useful video. Thanks Krish.
Mind blowing explanation guruji . Happy teachers day
Thank you for such good explanation.
Thanks sir , again it is very simple to learn everyone
Easy yet effective.
Thanks for sharing this Very Very Very useful knowledge.
Hi Krish,
I loved the way you are teaching us about data science concept. I saw the above vedio and have one doubt in it i.e. If we remove the outliers from data, can we use linear regression for classification problem?
Brilliantly explained
great teacher ever❤
Great stuff keep it up 🤗🤗🤗
Your explanation is superb
Great video. Can you also help me with the difference between Multiclass and Multilabel classification?
Very good vedeo, well explained...
simple and effective explaining .
Very good explanation thank you so much
Best lecture ever
YOU ARE THE BEST
incredible effort
nice video
Hie. Your videos are very informative and easy to follow. Could you please prepare a video for LR for text classification? Couldn't find it in ur playlist as well as couldn't find any other video in RUclips useful for this topic.
What is the problem with the weight intercept on the linear regression line being greater than 1 or less than 0 ? We're classifying only based on one criteria of the intercept being greater than or less than a particular value like 0.5, right?
Hi Krish. Thank you very much for your videos. I just have questions regarding the reasons you mentioned why we cannot use linear regression for classification. 1) outliers : in general outliers make the model inaccurate and we should fix or remove them. 2) what if y>1 or y 1 and and y
I was searching the comment section for answers to this question, but no one even questioned this
Very Well Explained.
Great explanation
Great job
Great lecture
Thank you sir ♥️
Just wow!!
great explanation
great work
great explanation.
This person is Gem
Thank you so much
Thank you soo much
Thank you so much sir
Thank you 😊
Thanks Krish
Why use logistic instead of linear for binary classification ?-The reason has been well explained.Thanks
Thanks
Can anyone tell where he stays I have to touch his feet for this incredible talent of teaching maths 🙏🙏🙏🙏
and students who are from primary schools ,don't watch this video and dislike that just bcoz you didn't understand
Thank you
well explained ..
Sir , I'm ur big fan and thanks for this content I have a doubt :
How I'll become good at code because I learnt many languages ,web development , and today I 'm learning data science as well
Pls recommend me a method which makes me good at code
Hi Krish, I see in a few videos they use the concept of log(odds) and maximum likelihood in logistic regression. Could you please explain which to follow?
Best explanation, better than my prof😂
well here are we geting the future predictions or are we getting the predictions done by this algo so we can recheck it with the test set ?
how can we use this or any other alogo to carry out future predctions
Nice video but I have one question: if we remove outliers using IQR or Log Transformation than can we apply Linear Regression?