Bias Variance Trade-off | Overfitting and Underfitting in Machine Learning

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In this video, we will learn about bias variance tradeoff in Machine Learning.
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By Far The Most Awesome Lecture On Variance Trade-off...I'm Literally Stunned !!! 😍🤩

purushottammitra
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this playlist is by far superier than any ML paid course available online

juhildungrani
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This is daily routine for me to visit your channel and learn important concepts with great understanding.
Thank You Nitish sir ❤❤🙌.
CampusX - Best Place for all the ML/DL Enthusiast .

Sandesh.Deshmukh
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What a explanation. When in interview I answered this I was right though but now I am feeling more confident, will never forget this.

CRCE__Hardik_Prajapati
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The best explaination for Bias-Variance Trade off on Youtube!! Thanks a lot

KastijitBabar
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bias : the inability of the model to truly capture the relationship in the training data

variance : it measures how much the predictions of a model vary for different training datasets.

overfitting : training error low and test error high.

underfitting : training error high

_PB
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Incredibly delivered the concept in very clear manner.
Loved it sir!!!
Great keep it up sir

depeshkumarmohanty
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Awesome. I like your videos because you explain the crux of the concept. However, it would be even better if you could include the formal definition of the concepts on-screen. Nevertheless, your videos are 10 on 10 bro. <3

indianarchangel
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You are a great ML guru! I highly apprecitate your time and effort towards the betterment of ML world!

radhs
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Thanks for make Under-over fitting concepts make easier.

stevegabrial
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Best explaination I have found so far.. Thank u..

payaljain
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thank you Sir, completed @10:18PM on 14th September 2024.

hasanrants
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Thanks Sir ji, Very helpful lecture.😀

narendraparmar
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Really nice you have explained...Thank you!!...Can you also make conceptual vedios on mathematical modelling

infinite
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last few hrs i was stuglling with this topic now i got it

Codingiisgreat
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you are truly a gem for us...cant thank enough ...keep going

Ayushi
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Hello sir, I have a doubt about this topic. If my test R2 is increasing and train r2 is decreasing does it mean that my model has a problem with underfitting and having high bias?

ashisharora
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Is all things well @ ur end? b'se we didn't see you today. see you soon.

stevegabrial
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if underfitting performs bad in both training and testing data then how come the variance is low ?

somkanskar
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Please use either English or Hindi as it is impossible to track what you are saying.

Lnd