Multiple Linear Regression using python and sklearn

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Multiple linear regression is the most common form of linear regression analysis. As a predictive analysis, the multiple linear regression is used to explain the relationship between one continuous dependent variable and two or more independent variables.

References - Kirell Ermenko Projects On Linear Regression. This video is dedicated to him

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I was struggling with Linear and Multiple regression for over 1 month. Finally, the puzzle is solved. Thanks a million, Krish. You are simply outstanding.

somjitdas
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You are a genius I have spent so much for a course that offered me nothing. Thank you again Sir may God bless you

ShahidIqbal-sqbf
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I like this comprehensively explain the details. Thank you for this content. Excellent job!

annalyticsannalizaramos
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Very nice pointers. Thank you Krish. Keep up the good work.Looking forward to your Deep Learning Videos. Learning a lot from you.

ijeffking
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Yep, this was the video I was looking for!

noahrubin
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Please make a video on Multiple Linear Regression using the stats model. with forward and backward elimination technique.

abhishek-hbvg
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Whatever i have learnt from the theory today finally i came to know how to implement Thankyou Sir

gaznavie
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You missed the most important part of plotting the best fit line
The second question is when we have n dimensions (n variables in linear regression) can we apply pca ??

sohaibzq
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When you come in board is good to understand sir you are well and excellent teacher

VinayakG-tc
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Multiple linear regression made so simple Krish sir.. I am highly indebted to you. Great job!!

Rafian
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1)sir take some big data sets and explain like daily time works....


2)how do we identify the algorithm by seeing data set also explin sir plzzz..
3)make some analysis parts of an data sets how to analise the data by seeing those datasets

middle_class_Me
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Spyder looks cool...I might switch to it😃. Great video man👌

ThobelaGoge
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Sir your content are brisk clear, the content is accurate as well as the explanation .Thanks for the effort.

nanditasahu
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You described the multiple regression very well...Thank you. I would appreciate if you can do a detailed video on r square and adjusted r square etc (Intuition and concept wise)

drvk
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This video is really help to me thanks you so much bro

SatendraYadav-csyh
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Very nice Explanation. Keep it up Krish.

harisjoseph
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You are doing great of the world is teaching and it will helpful for so many people I personally thank you a lot for doing this kind of good things for us ..
Salute you man

manishhedau
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Thank you for your detailed explanation.

gorenekli
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excellent explanation of MLR with python coding

riteshshrimali
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Sir, dont we have to first check the assumption for linear regression before fitting into the model? and adjusted r2 should be a good option in multiple linear regression?

meetmeraj