5 common interview question on logistic regression | How to explain logistic regression in interview

[@UnfoldDataScience]

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[@arvindadari3390]

In multi-class classification, each input will have only one output class,[eg : Dog. / cat but can't be both] but in multi-label classification, each input can have multiple output classes [eg : genre of movie say action + thriller, comedy + horror, can be many possibilities]

[@UnfoldDataScience]

Thanks Arvind. This is great. Was the video helpful?

[@arvindadari3390]

@@UnfoldDataScience That's an Awesome content. Very helpful.please keep up the good work😊

[@akshay_kale147]

please make all algorithm interview series sir.. it will be helpful for us in actual interviews..

[@nishitaverma8805]

Hi sir, your videos are very helpful for beginners. I watched your many videos. It has improved my overall understanding. I like the way you explain every small details for every topic. Keep uploading such videos. Your video of statistical significance test with python, bagging and other ML Algorithms related videos are building my strong foundation. I thank you for this great time and effort. Stay motivated.

[@sayalikakad6446]

Very helpful... Multiclass classification- it is having more than 2 response variables Multilable classification- in this for single input we can have combination of response variable.

[@sanketadamapure802]

Multiclass classification means a classification problem where the task is to classify between more than two classes. Multilabel classification means a classification problem where we get multiple labels as output. can we call logistic regression as a multiclass classification ? Aman Sir Please make video on top 10 Deep learning Questions.

[@UnfoldDataScience]

Sure Sanket, wanted to check if this video was useful?

[@sanketadamapure802]

@@UnfoldDataScience Yes Sir it's very useful and important video .

[@adithyaboyapati]

Hi Aman, Please make many such videos. These videos are really very useful.

[@firstkaransingh]

Brilliant. .. thank you. Please do this for every topic and algorithms.

[@UnfoldDataScience]

Thanks Karan.

[@jamalmanssour1724]

Thank you for your informative videos. Could you please do some videos on the following topics: Response surface methodology Sobol analysis Morris analysis Correlation analysis Proxy models based on neural network

[@UnfoldDataScience]

Yes, soon

[@satyagarapati3611]

Great content!! Enjoyed and helpful. Thank you

[@UnfoldDataScience]

Thanks Satya

[@nivednambiar6845]

Thanks for sharing Learned something new around logistic regression 😊😊

[@UnfoldDataScience]

Thanks Nived

[@kunalpandya8468]

What is the loss function in logistics regression sir?

[@Paladipradeep]

Nice

[@shadiyapp5552]

Thank you sir ♥️

[@balajikasturi4650]

In multi-class classification, each input will have only one output class, but in multi-label classification, each input can have multi-output classes.In multi-class classification, each input will have only one output class, but in multi-label classification, each input can have multi-output classes.

[@umamaheshvarma.chinta8527]

Multi class classification: means classification problem ,where the task is to be classify b/w more than Teo classes Multi label classification: means a classification problem where we get multiple labels as output

[@chetanshetty2473]

Hi Aman, thanks for your videos. It's very helpful and easy to understand. Can you please make a video on how to check if the data is linearly seperable using python in logistic regression Thanks again.

[@UnfoldDataScience]

Thanks chetan. Sure

[@stanislavdidenko8436]

I thought logit is the inverse of sigmoid, it converts probabilities into real number. And you say that we use logit to compute probabilities, which is not correct

[@puneetsatyendrasi]

good work Aman!

[@UnfoldDataScience]

Thanks Puneet. Hv a nice weekend

[@mohammadakheel2527]

Make video for all algorithms sir😊

[@UnfoldDataScience]

Thanks Akheel. Sure

[@sanketadamapure802]

I am Agree to @Arvind Adari

[@UnfoldDataScience]

Yes Sanket

[@karthebans248]

Multiclass Classification: The classes are mutually exclusive i.e the classes are comes from the common category. Multilabel Classification: The classes are not mutually exclusive. The classes are different with each other, not from same group. Hope the Answer is correct.

[@UnfoldDataScience]

Thanks Karthaben, this is cool however look at above answer by Arvind once. How did you like this video?