Linear Regression Algorithm | Linear Regression Machine Learning | Linear Regression Full Course

This “Linear Regression” Tutorial by Great Learning would help you to comprehensively learn all the underlying concepts of Linear Regression.

This session will be taken by Professor Mukesh Rao, who is the academic director at Great Learning. Professor Mukesh Rao has over 20 years of industry experience in Market Research, Project Management, and Data Science.

The following topics are covered in the session:
* Introduction - 00:00:00
* Case Study to understand the need of Linear Regression - 00:01:12
* Introduction to Linear Regression - 00:04:18
* Introduction to Multiple Linear Regression - 00:09:49
* Simple Demo in R and Python - 00:11:00
* Comprehensive explanation of Linear Regression Algorithm - 00:35:47

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[greatlearning]

The following topics are covered in the session:
* Introduction - 00:00:00
* Case Study to understand the need of Linear Regression - 00:01:12
* Introduction to Linear Regression - 00:04:18
* Introduction to Multiple Linear Regression - 00:09:49
* Simple Demo in R and Python - 00:11:00
* Comprehensive explanation of Linear Regression Algorithm - 00:35:47

[astrovert.ed]

1:07:20 "Don't worry about the formulas, get the concepts in place" - summarizes the mantra for anyone willing to learn Data Science.

[theandromeda]

Only thing issue i have gone through i was not able to see the white board's contact as well as projectors contacts . Although i have tried to listen sirs word and tried to understand . If this issue could be minimise than i think this course will be the best course .As the explanation of sir was outstanding . ❤️❤️❤️

[rajnichauhan]

Thank god I found this video. Such an awesome explanation. I learned a lot from this video. A very big thank you sir. Professors like you are very rare to find.

[razaali]

if my teacher would have taught me like that in school. i would have been a data scientist in High School

[greatlearning]

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[najiibrashiidabdi]

My name is najiib and i am from somalia this the best course of linear regression i seen even i teach during my machine learn course but it wase difficult for me to understand linear regression but i am now understood more thank you great learn you help me lot and also i will thank the professor 🥰

[InfoRewind]

This is really called we got something in free no ADS, Thanks a lot for your contribution.

[siddharthsharma]

Rao sir you are superb- All we had learnt in school that y = mx + c don't ask why put the value and get the answer 90 percent in exam, parents are happy but students like me lost intrest cause of why we are doing how this values coming, Thank you very much you all are doing the best work on the earth. #Respect you all.

[anushkaupadhyaya]

The best explanation And answers to all my questions solved so beautifully. Seriously, Thank You for these set of videos, keep coming up with more. ❤️

[winstonloke]

This professor is good at explaining, thumbs up.

[oldschool]

This is the best tutorial. Respected Mukesh Sir explained it the way may be none else can(not disrespectful to other great tutors).
Thank you great learning team for making this amazing available for all of us. Guys can you upload the second part also of this great session?

[NikitaSharma-bsgg]

This was an awesome lecture- thank you, sir has incredible understanding of the subject :)

[arvindgupta]

Etne Dino se Kaha the Prabhu aap? 🙏🔥
Thank you so much 😊

[siddharthsharma]

You have very good understanding of concept i request you to please make some more videos and contribute the community, Again you are genious, Try to learn ML but due to lack of statics concept having some difficulties, I tried books but still in trouble, Your video made me so comfortable. i appriciate what you are doing.

[rajeshnethala]

Great Explanation and now I am clear with the concept. Indeed great learning. kudos

[twisthz]

Thanks for these videos. Just a suggestion: for key topics like Linear models, Time series analysis, Multivariate statistical analysis, Optimization, etc, perhaps you could create two videos, one at an elementary level and another at a more advanced level (for people who have the linear algebra and statistical inference background). I know you don't want the courses to become too theoretical but the latter type of videos will definitely appeal to engineers, physicists, economists and others who want to make a jump into data science or ML.

[ODearUR]

Very good Teacher, 1 of the best i have seen, want more from him for us

[aslambohemia]

Crisp and clear. Execellent delivery sir. Thanks lots to the the team greatlearning. I would happily suggest to the students who are in need of.

[nriezedichisom]

I am just so grateful for this lecture. It explains a lot of ambiguities and I am glad that most of them has been sorted out. Thank you