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Really awesome, I had been stumbling upon different online courses regarding logit but not satisfied. Its really amazing, I am simply wordless. Your tone, voice, presentation and you beautifully impart complex information to audiences. Nailed it. Keep it up. You made my PhD interesting. :))
This is the best video on Logistic Regression out there. Explained so beautifully and crystal clear. Loved it, Start to end. Keep on doing great work Hemant!
Very useful video for those who want to learn logistic regression in the ML domain. Many thanks. Clear presentation with a step-by-step explanation of points. But some questions: in the model building process, can we say our final objective is to determine the threshold or what is it really? What would be the importance of this model for clinical diagnosis? Would it replace lab diagnosis or?
The explanation is very clear. A great learning material. Would be great if you get a chance to deep dive into data preparation and handling missing values and unclean data. Also some insights on how to deal with multicollinearity would help. But overall, a great starting point. Loved it!
At 13:10 , you said in logistic regression the value of y is between 0 and 1, so why are we doing log(y/1-y) which will make the range between -inf to +inf? Don't we want the value of c+b1x1+b2x2 and the rhs between 0 and 1?
Hi Pragun, the logistic function(on which this algorithm is based) is a Sigmoid function, whose graph is an S-Curve and the mathematical expression is the one that has been used . Log is used to make a complex calculation easier, then you take an antilog in the end and obtain the RHS between 0 and 1.
thank u edureka & sir , for helping me to clear all my doubts related to logistic regression . excellent teaching . keep doing ..........love from Odisha ❤
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It's simply a very useful video to understand regression model and also in which case we should apply different types of model. Could you please make a video for time series analysis...
Thank you very much. It is super easy to understand. Even I am newbie in R, but have basic coding knowledge I could use it for my research thanks to this tutorial.Thank you!
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Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. The outcome is measured with a dichotomous variable (in which there are only two possible outcomes).
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Hey Bernard, thanks for checking out our tutorial. We have passed on your feedback to our team and we might come up with something on this topic in the future. Do subscribe to stay posted. Cheers!
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Hey Chiranjeevi, thanks for checking out our tutorial! We're glad you found it useful. Here's another video that we thought you might like: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-BfowBtIxNu4.html. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
The way you have explained is very clear. I am now very clear with logistic regression. Can you please explain how to calculate the coefficients using maximum likelihood estimation.
Hey, sorry for the delay. So, whenever you fit a logistic regression model, you get an output column in the name of 'parameter estimate'. The value of the coefficient for a particular variable is present against the corresponding variable. This process of coefficient calcuation takes place with the help of maximum likelihood estimation but in the backend. Hope this helps. Cheers!
@Edureka You guys are really GOD for the students like us and Sir I never was able to understand the concepts of stats before watching the video as everytime the stats lectures make me bored but your videos with created a kind of interest which made me to keep watching the video till the end. I have learnt Linear and Logistics Regression from your videos. @Edureka such a you tube like yours should get more then 10 million subscribers.
Hi, I was wondering for your video at timing 26.01, how did you derive the values 0.9849/1.9849? I have tried to apply the formula with the sample values you have shown in the video and I seems to unable to derive the value you have stated. The formula I have applied is: 1 / 1 + e^-(b0 + b1*x1 + b2*x2)
Hey Teoh, This is happening because you're missing out a set of parenthesis in the denominator of the formula. Try inserting the brackets and see if you get the correct results. Hope this helps!
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Hello , you explain in an amazing way , thank you so much . If possible , Could you please make a tutorial about "2*2 table " logistic regression . Thank you so much
Hi Zineb, thank you for your feedback. We have considered your request and our team will definitely come up with an exclusive 2*2 Logistic Regression table tutorial. In the meantime, do subscribe to our channel and stay tuned. Happy learning :)
Amazing video. I completely understand Logistic Regression. I must have read 10-15 websites explaining, but they didn't make as much sense as this video!
Hemant, another powerful video. Thanks a lot. Always been a fan of your classes. Am already following your classes in edureka and your classes have given me a lot of confidence to start with.
Hey Deepesh, thanks for checking out our tutorial! It was added intentionally. As your model is never 100% accurate, it tries to find a correlation and hence segregates the result. Hope this helps. Cheers!
Hey Richa! Sure, drop in your email ID and we'll share the dataset with you. Meanwhile, check out other videos we have posted on our channel, lots of interesting stuff in it. Cheers :)
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Hi Saikat, thanks for the wonderful feedback! We're glad we could be of help. You can check out our complete Data Science with R course here: www.edureka.co/data-science. Do subscribe to our channel to stay posted on upcoming tutorials. Hope this helps. Cheers!
