Ridge And Lasso Regression Indepth Maths Intuition In hindi

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[@vinaypritwani]

Hi Kirsh, this hindi channel is gold for data science aspirants, I request please make more videos on this hindi channel.

[@IrfanSaleem541]

Thanks. You are doing a fantastic job. stay blessed, and greetings from Oman.

[@bp2807]

Hi krish. Thanks for all your amazing sessions. Please add continue with more SQL videos

[@bmsstrugglersunitedtransyl3621]

Thankyou sir for the beautiful content..your videos are very informative and helpful. 😊

[@HarshalGarud]

I think For underfitting -
High bias and low variance.
Please check it once.
Thanks.

[@vaibhavpandey7398]

Yes.

[@AnshumArt]

yes

[@Devavrat2005]

NO , in underfitting the conditions are High Bias and High variance

[@akhilsingh5251]

Amazing content sir waiting for the next video.

[@akhtarattar2744]

amazing hindi session it was very easy to understand ... plz explain linear regression,ridge and lasso python code in hindi

[@ashishvinod2193]

Best Video sir Thank you for the giving precious knowledge for free👍👍👍👍

[@sakshitonde5979]

Thankyou for the great explanation!!!

[@HarshalGarud]

High level of teaching

[@descendantsoftheheroes_660]

Thanks for machine learning

[@prakashiyer1996]

Thank you sirjee

[@AlokPratapSingh4001]

Thank you Sir

[@elonmusk4267]

that was freaking great

[@dipesh_chatrola]

Great video! What role does the Lambda value play here? I mean, what effect does it have on bias and variance if I change (increase or decrease) it?

[@deveshmishra3513]

this video is a recommendation for bias vs variance and not Ridge and Lasso BAM!! DOUBLE BAM!!

[@akshaygupta2864]

BAM @statquest

[@vanshajsood2840]

Sir can u explain more on how L1 used for feature selectin bez in both their is vector summation and thus squaring the coefficients

[@ashishpaliitbombay8997]

sir please upload the RandomForest algorithms

[@pkumar0212]

👌

[@AshishKumar-qj5nf]

How do you calculate lambda constant value ?

[@Avsjagannath]

amazing sir
sir plz provide notes and code doc

[@shubhamkulkarni1202]

but what that lambda means?
he directly put value but if someone asked what is lambda then how we have to answer? pls guide

[@vaibhavpandey7398]

Bhaiya ji x theta n y i. R they specific to machine learning because econometrics me hum simply ise beta hat likh dete h

[@bhushanshirwadkar4668]

Can anyone help: How to check accuracy for train data nd Test data so that we can know overfitting and underfitting condition ?

[@shraddhashete9184]

Find accuracy score for (y_train, y_pred) for training data.
And accuracy score (y_test, y_pred) for testing data.

[@user-nh4xb4lm6e]

How do we select the value of lambda?

[@amanrazz2091]

Using cross validation

[@vaibhavpandey7398]

Secondly, why overfit is a problem?

[@tejassrivastava6971]

Model may not be able to perform well on new datasets.
Example: Assume a Kid having a math test who over practiced 100 Questions at home. But in test, he has been asked some new kind of Questions. How likely he will be able to perform well? Very low right. Thats why.

[@RajanSingh-xr7cf]

kuch bhi smz ni ayya ..............kya yrr.....pta nai kya padya

[@Amankumar-sb4jn]

Bro tum bhut ganda padha rhe ho, sach mein, conceptual knowledge bilkul nhi h tumhe.

[@MovieOk-p8q]

Yes, I think you are right.
Kisi bhi cheez ki defination ni likhwaya hai.
Direct graph and. Formula likhwa diya hai.

[@ajaykushwaha-je6mw]

Can anyone help: How to check accuracy for train data nd Test data so that we can know overfitting and underfitting condition ?

[@bhushanshirwadkar4668]

if you know answer for this question then please let me know.

[@shraddhashete9184]

Find accuracy score for (y_train, y_pred) for training data.
And accuracy score (y_test, y_pred) for testing data.