Hindi- Overfitting, Underfitting,Bias And Variance Explained In Hindi| Machine Learning

[@meenakshigupta2263]

OMG!!! Was it that easy? I found this very difficult before watching your video. thnk u so much ....

[@sagaragalawe1536]

Many videos I have seen on KZbin. But your teaching is much understandable than others.

[@letsrockwithnavin11]

Model 1- Overfitting Model 2- Underfitting Model 3- General fitting,,, THANKS SIR, FOR MAKING THIS PLAYLIST, hm ek institute se DATA SCIENCE ka course ker rhe hai (total charge 1.8 L), but hmko wha se utna samjh me nhi aaya hai jitna ki aapke video dekh ker samjh me aa rha hai... Thanks Sir

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hum but the price is 😥

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[@ShaikhSalman-w8h]

Krish sir, Thank you very much for making this video. Love you sir. you are among the top great teachers of DS .

[@zaraprvz]

omg you explained it so good like i wish i had you as my professor in my class . You truly inspire me to learn and grow making machine learning so easy for me . Thank you

[@sahithiayachitula3726]

You are the best teacher found 🙏🙏 Thankyou for such a simple explanation sir.

[@aadityasharma2500]

I wanted to thank you for your excellent explanation . Your teaching method made it so much easier for me to grasp the concept. I truly appreciate the effort you put into making the lessons engaging and understandable. I depend on you to transition my career into data science. 😍❣

[@ANURAG_GUPTA576]

Truely no words to thanks mind-blowing, great ❤❤❤

[@djsatgeet6006]

Sir, for this kind of content. Beautifully Explained

[@UNKNOWNSAAKASH-so2ou]

First model is Low Bias + High Varience (Overfitting) Second model is High Bias + High Variance also (underfitting) Third model is Low Bias + Low Varaince. (Generalized)

[@pankhurithakur4291]

very nice, bhot acha padhaya sir ne tysm

[@Hacker-y2i]

Excercise 9:55 / 12:17 Model 1-> Low Bias, High Variance (Overfitting) Model 2-> High Bias, High Variance(Underfitting) Model 3 -> Low Bias , Low Variance (Generalized Model)

[@Taehyung-w3q]

thank you so much ♥ ♥

[@mufeezhanif]

Best explanation, thanks alot

[@netviz8673]

underfitting when training error is high, gives scenario of high bias. Bias is always realted to training data and variance is realted to test data. underfitting is when training error is high. Low bias when training data error is low. Low bias comes with low variance while high bias can come with both high and low variance. Low bias gives generalised model. OVerfitting problem occurs when best fit line passes through all the data points so the training error is zero. So this is a condition of low bias but high variance. So overfitting is associated with low bias and high variance because training error is zero but test data error will be high.

[@Nandanyadav333]

Nice explanation bro thank you❤

[@shobhangiverma7090]

Thankyou for wonderful video sir🙏

[@Coder-f7e]

best teacher

[@ganeshkachare4754]

Still i am not able to understand how in the case of overfitting test error will be higher ?

[@pythonthepythonist6439]

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[@rishavanand1888]

it was so helpful

[@keeratkaur7012]

Explained very well😁

[@adilmughal2251]

explained beautifully.

[@sonisona1419]

thank you sir❤

[@cha5848]

Thanku so much

[@d9sign]

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[@aryanjaiswal9829]

nice video sir

[@vivekpaliwal1876]

sir linear regression me jo best fit line to straight line bnti hai ... y = mx + b....to ye tedi line best fit kese ho skti hai?

[@PritamSarkar-fe8ye]

Was finding this. ♥

[@SUJANSAI1983]

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[@priyansukushwaha5195]

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[@agrawalmitesh4395]

Masterpiece

[@samarthtandale9121]

Sir muze samaz nahi araha hai ki linear regression me ovrfitting kaise ho sakta hai ... after all it is a line!

[@SACHINKUMAR-px8kq]

thanks sir

[@shahrukhahmad4127]

Timestamp:9:55 >>>> Model1: Overfitting, Model2: Underfitting, Model3: Generalized model

[@bhupeshmahara]

Sor, what if in regression model in the 3rd graph, if we have training error almost 0 and variance is also low ??

[@krishnaikhindi]

It is a generalized model

[@bhupeshmahara]

@@krishnaikhindi thanks sir

[@anjurani430]

Overfitting Underfitting Generalised model

[@PiyushKumar-ps5yu]

10:44 wrong underfitting (high bias + low variance)

[@propagandabuster9280]

Why low variance bro?? Test data error is high na so high variance..

[@pratiksingh23]

11:42

[@AbdullahAbdullah-jc4uf]

👍

[@shrikantwadkar14]

💌💌

[@mlpython1089]

What language is he speaking?

[@aniketsrivastava6521]

Hindi

[@Matrix.m75]

Hinglish

[@kokandarshan4173]

👌👌❤️🙏🙏🙏🙏

[@SUJANSAI1983]

amazing love ur teaching.u made ML very easy