Lec-3: Introduction to Regression with Real Life Examples

00:00 – Introduction
01:41 – what is regression
03:18 – example
04:31 – regression represent is graphical way

Regression is a type of predictive modelling technique used in statistics and machine learning that estimates the relationship between a dependent (target) variable and one or more independent (predictor) variables.

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[drishtikurmavanshi]

1.45 ko actually explanation is starting

[rma]

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Fail nhi hone dunga :- motive of this channel 😋😂

[avinashdube]

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[sandy_brandy_XD]

one of the best explanation for regression!!!!

[stha]

You made it sound so easy me along with my friends are always referring to your videos for better understanding...especially during test and exams😇

[DM-yzby]

Happy teachers Day sir.May God bless you.Thank you so much sir..We all love you from Bangladesh(BU_CSE).

[nehaattal]

Amazing Sir grateful for such an easy way of explanation ....used so many books, ChatGpt, our own lecturer but didn't understand anything rather was very overwhelming!!!! Was looking for such amazing explanation !!! Thank you so much

[ahmadzahid]

I'm 17 and I'm loving your videos

[atadurweshziyaee]

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[taetaeworld]

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[divyasingh]

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[subuhiizhar]

Phle m apka lecture sunti hun thirty apna study material uthati hun

[ENCSAP]

Is lecture mein 5 min engineering wali vibe aa rahi hai 😂😂

[anikchowdhury]

I am writing to request the creation of a comprehensive and structured playlist focused on the subjects of Pattern Recognition and Computational Statistics. These topics are critical for students and professionals in the field of data science, machine learning, and artificial intelligence, yet there seems to be a lack of well-organized resources that cover them thoroughly.

[ReshmaLadake_]

Sir please upload Blockchain playlist basic to depth concepts because this subject we are learning at this moment in our college..

[BerojgaarEngineergaming]

best example is how Railways calculate the timings of Late running trains according to its speed and restrictions of speed on multiple sections, because on its method the data is 90% accurate

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