Hindi- Overfitting, Underfitting,Bias And Variance Explained In Hindi| Machine Learning
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- Опубліковано 12 тра 2022
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OMG!!! Was it that easy? I found this very difficult before watching your video. thnk u so much ....
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Wow..thanks a lot sir ,please continue this series.
Model 1- Overfitting
Model 2- Underfitting
Model 3- General fitting,,,
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Sir, for this kind of content. Beautifully Explained
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Best explanation, thanks alot
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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?
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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)
nice video sir
thanks sir
Masterpiece
you made ml easy to love
Sor, what if in regression model in the 3rd graph, if we have training error almost 0 and variance is also low ??
It is a generalized model
@@krishnaikhindi thanks sir
Sir muze samaz nahi araha hai ki linear regression me ovrfitting kaise ho sakta hai ... after all it is a line!
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)
Timestamp:9:55 >>>> Model1: Overfitting, Model2: Underfitting, Model3: Generalized model
👍
👌👌❤️🙏🙏🙏🙏
10:44 wrong underfitting (high bias + low variance)
Why low variance bro?? Test data error is high na so high variance..
11:42
What language is he speaking?
Hindi