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

[@purushottammitra1258]

By Far The Most Awesome Lecture On Variance Trade-off...I'm Literally Stunned !!! 😍🤩

[@juhildungrani3594]

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

[@campusx-official]

Then you should definitely check out my Data Science Mentorship Program ;)

[@pewpewpew1177]

@@campusx-official😂😂

[@Sandesh.Deshmukh]

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 .

[@CRCE__Hardik_Prajapati]

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

[@KastijitBabar]

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

[@depeshkumarmohanty9522]

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

[@_PB03]

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

[@radhs19]

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

[@indianarchangel]

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.

[@campusx-official]

Feed back taken

[@RajKumar-ob8wk]

Thank you for such a simple explanation 😊

[@stevegabrial1106]

Thanks for make Under-over fitting concepts make easier.

[@payaljain3508]

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

[@saurabhbarasiya4721]

Great yrr Best teacher

[@Ayushi3004]

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

[@DrChandraMohanD]

Very Simple and Good explanation

[@narendraparmar1631]

Thanks Sir ji, Very helpful lecture.😀

[@abdulazizkhan4772]

you are underrated sir

[@Codingiisgreat]

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

[@hasanrants]

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

[@infinite3669]

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

[@balrajprajesh6473]

8 minutes of gold

[@rockykumarverma980]

Thank you so much sir 🙏🙏🙏

[@Zero-ss6pn]

Clearly Explained!

[@ujefmalek77]

Amazing video 💞

[@shadiyapp5552]

Thank you ♥️

[@cookiearmy2960]

jusr finished your regression part i have one question - scikit learn linear regression uses SVD right not the direct closed form solution you explained? can we have a video on this too ?

[@cookiearmy2960]

also need the part where polynomial features are not just a,a2,b,b2 ,b3 but also ab2 , a2b etc in polynomial regression

[@iftibuni]

Thankyou Boss

[@stevegabrial1106]

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

[@AbdurRahman-lv9ec]

great

[@tussu_mundhra]

awesome

[@pratikdhameliya165]

Super sir

[@heetbhatt4511]

Thank you sir

[@rishi2820]

wow wow wow , krishnaik pe time wsate kr dia

[@ashisharora9649]

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?

[@somkanskar8931]

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

[@Sachinnani019]

Yeah it come High variance i to have same doubt

[@priyam8665]

✅

[@saurabhbarasiya4721]

Could you share the syllabus

[@Frdy12345]

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

[@MaharMuhammadAown]

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