Thank you so much! Your video is the clearest explanation that I have ever watched. I don't know why my lecture slide and text book always make me even more confused when I continue to read them. This video helps a lot!
Wonderful explanation! One of the best!! But can you explain why we are performing the addition of 1 to the exponential function in the denominator? Rest everything made sense
Great explanation But why do we choose to add +1 in the denominator and not something else, you said you would explain it but didn't, or did I miss it? Is it because then we can interpret it also in terms of odds?
Thanks for the super easy explanation. I am looking for the reason why the variation of the standard logistic regression is pi^2/3 (3.29). Would you let me know why???
Find the logistic function f with the given properties. f(0) = 1, f has limiting value 16, and for small values of x, f is approximately exponential and grows by 75% with every increase of 1 in x.
I am stuck on something. In the magazine example, the parameters B0 B1 in linear regression are different from the parameters in logistic equation, right? Otherwise logistic regression and linear regression would give very different probabilities for the same situation.
This was very close to what I actually searching for. !!!Can you PLEASE suggest me any good statistic book which includes derivation + intuition. Thank YOU .
dataminingincae Hey, This is excellent! I was searching everywhere to find such a simple and easy understandable explanation!!! Thanks; all the best :D :D
A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and a is the intercept (the value of y when x = 0). Here -1.70073 is the value of Y(Dependent Variable) when X is 0
This is the best explanation of Logistic Regression. You have a talent for simplifying things
Read and viewed many content before but this one has the best and simple straight forward explanation. Thanks a lot Sir!!
This is the best explanation I have ever seen in youtube for logistic regression
This is the most simplest explanation of Logistic Regression I have found so far.
This is a beautifully simple explanation. Easy to follow. Great video, thank you.
sir,you are exceptional.This videe cleared all my doubts on why we are moving to Logistic Regression ..Thankyou Very much
I finally understand what the logit model is and why people use it so often... Thank you so much!!!! Much appreciated!!!
This Video is amazing. Cleared a lot of confusion. The transition from linear to exponential to logistic function was awesome.
i love these kind of people ..straight forward explanation
Thank you so much! Your video is the clearest explanation that I have ever watched. I don't know why my lecture slide and text book always make me even more confused when I continue to read them. This video helps a lot!
Found this video today. Absolutely loved the demonstration/explanation. Thank you!
Why cant my professor, charging a bombshell, cannot explain it as simply as you did!! Thank you sir!
PLEASE make more video !
this was so intuitive. Seriously this is the best explanation I have ever seen!
Your explanation was so simple. This is surely the best explanation of logistic regression on the Internet ✌
The best video ever in logistic regression..hats off to you Sir
Well explained. I didn''t understand this untill i watched this video. Thank you so much.
Simple and best explanation of logistic regression.......
best explanation of Logistic Regression!!! Thanks
coming here after checking many videos on logistic regression, this one is really good 👍
The best video on logistic regression without any doubt!
Very well explained, cleared the doubts between linear and logistic regression
Explanation was crisp and clear..Thank you
OMG! ..You have no idea how much trouble you saved me!!! Thank You so much Sir!
What a teacher! I wish you were my colleague when I was a student.
As customers grow younger. Spoken like a true statistician good stuff
Best video on Logistics I have ever watched.
Wow! Amazing. Thank you very much for the clear explanations
at last, someone decided to make a video about LR that makes SENSE!
thanks very much sir.you are quietly different, you made astonished about what you have introduced.
This dude is a very good explainer.
This topic is so much easier for me now. Thanks so much!
One must listen these videos of you in a sequence.....great work done by you friend. Happy new year
Wow i went over so many videos and this one was the one which cleared all my doubts. Thank u so much. Mega thumbs up!
Thank you for such wonderful explanation. It would be great if you can provide dataset of the magazine example. We can try it out on our own.
Nicely done. You can add that that's a sigmoid function which can also be written as 1/(1+e^-x)
best lecture so far.
Wonderful explanation! One of the best!!
But can you explain why we are performing the addition of 1 to the exponential function in the denominator?
Rest everything made sense
Great explanation
But why do we choose to add +1 in the denominator and not something else, you said you would explain it but didn't, or did I miss it?
Is it because then we can interpret it also in terms of odds?
A remarkable clarity, to see, Great!
EXCELLENT. VERY CLEAR AND PRECISE. GOOD JOB.
thank you, your video is much of a help for understanding the logistic regression
Cool & Simple Explanation! Thanks!
One of the best explanation...
Thanks for the super easy explanation. I am looking for the reason why the variation of the standard logistic regression is pi^2/3 (3.29). Would you let me know why???
Beautifully explained! Thank you. Thank you.
Beautifully done.
Why did they go for the exponent function instead of an x^2 function? Both can be made to place p between 0 and 1.
Find the logistic function f with the given properties.
f(0) = 1, f has limiting value 16, and for small values of x, f is approximately exponential and grows by 75% with every increase of 1 in x.
I am stuck on something. In the magazine example, the parameters B0 B1 in linear regression are different from the parameters in logistic equation, right? Otherwise logistic regression and linear regression would give very different probabilities for the same situation.
@All ... Why we have added 1 . This could be any number rgt ? I mean to say any number which make denominator bigger than numerator... ???
Great video! The best video in logistic regression
wonderfully explained...still question remains why chose 1 in denominator why not any integer?
Exceptional!!!! beautifully explained...
Great explanation
Very good video!! Thank you for the explanation.
amazzzziiinnnnggg videoo.... literally cleared all my doubts.. thank you sir
This was very close to what I actually searching for. !!!Can you PLEASE suggest me any good statistic book which includes derivation + intuition. Thank YOU .
Could you please post a link to the playlist this video is a part of ?
Great video, thank you.
such a good explanation!well done and thank you!
best explanation ever! Cant thank you enough :)
In 11:19, how you go from the ln(x) to the p = ...?
brilliant explanation. Keep uploading these videos. Also if we could get codes and data set that you are using that would be phenomenal
This is the really nice explanation and examples are also good.
Thank you very much for valuable information....
Sir, This is amazing video. Is there a possibility of sharing data of 1000 subscribers to try on our own. Or is it available on Kaggle?
Best explanation so far, really thank you
Thank you SOOOO MUCH! It helped clear so many questions!
Great explanation thanks sir
clear and precise
merci beaucoup MR:
yeah its a good effort. We all need to clean up our basics from time to time.
Great video! Thanks!
best logistic regression video
Its really awesome and feeling happy that i learnt. one has to watch for sure. Subscribed!
Really good video, thank you for your short but effective explanation! :D
Great video with simple explanation !!
An Excellent quick intro video1
Thank you!
Man you are the best. Great explanation and very exceptional.Thank youDr. salah
How can I get the more advanced videos?
dataminingincae Hey, This is excellent! I was searching everywhere to find such a simple and easy understandable explanation!!! Thanks; all the best :D :D
Great explanation, thank you
Wow! Just wow!
wow ! good teacher
at 4:22 I can't figure out what -1.70073 stands for. Could you please enlighten me?
A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and a is the intercept (the value of y when x = 0). Here -1.70073 is the value of Y(Dependent Variable) when X is 0
great video, now it makes sense, thanks
thanks ... very clear
from where -1.700+0.064 and -26.52+ .78 came?? pls help
8:00 you must also save the ranking order of the predictions.
Thank you sir!
Brilliant!!!
Perfect
Thank you very much.
simply cleared.
Thankyou so much
Nice explanation :)
Hello,can I ask what application did you use in 4:12mins ? thanks!
it's called gretl
Sir, thank you very much
Thanks man, this rocks!