Bahut sahi laga sir ,English sa hindi mai aa gay bahut bahut dhanywaad
@shubhamthedeveloper2 жыл бұрын
Sir apka hindi lecture padane ko acha lagata hai.
@thespeedyronaldo7 ай бұрын
3:55 Start
@gaurigupta4766 Жыл бұрын
Wow😊best explanation
@sheikhshah2593 Жыл бұрын
Great 🔥🔥
@letstry2854 Жыл бұрын
Hey Krish, I am enjoying learning ML through your video. Please add more content!!
@suparnasaha30432 жыл бұрын
Great explanation
@gamesden80213 ай бұрын
sir i have a question if in the case of bagging test data set is binary classifiers so use of maximum voting then if equal number of 0 and 1 fail the maximum voting which techniques i can use in this senario?
@altafshaikh3900 Жыл бұрын
Great lecture overall 🙏🏻
@himanshusinghaimll Жыл бұрын
Best explanation ❤
@adityapradhan84747 күн бұрын
Thank you so much sir
@surajprakash4630 Жыл бұрын
Very helpful video sir...thanks a lot
@VyomKumaraes2 жыл бұрын
Sir pls upload more lecture we are waiting pls!
@amitchauhan5924 Жыл бұрын
Hello Sir, how we can use different algorithms at once in bagging? As I read on other materials, we can use one type of models for all base models with different data. Please explain.
@rushabhtijare7188 Жыл бұрын
you are correct single type of algorithm possible in bagging
@entertainment806715 күн бұрын
I am also confused, if we use different types of models in bagging then what is the different between bagging and stacking?
@Pawankumar-i8c2 ай бұрын
best video
@Varsha_Bankawat11 ай бұрын
Bagging can be considered as model for further analysis?
@AnkurKhatri-b7t Жыл бұрын
Just want to know how Max voting classification will work if we built even number of Models in Bagging and Number of Output of both 0 and 1 are same. What will be the final Output
@sidnoga2 жыл бұрын
Sir please make a video on ada boost and xgboost
@prernasrivastava65242 жыл бұрын
Sir pls continue making videos
@Satvikshukla00076 ай бұрын
Very nice sir
@deepaklonare9497 Жыл бұрын
what about the training data+classfication problem ? and for training data+regression problem ? Both will have AVG only?
@tanmaychakraborty78182 жыл бұрын
Sir pca ka Theoretical lecture bhi karwa do please
@pkumar02125 ай бұрын
👌
@fahadnasir16052 жыл бұрын
Hi Krish, did you upload the videos for Adaboost XGboost. I didn't find it in the ML playlist
@rockfighter99742 жыл бұрын
Nice video thank you
@maths_impact2 жыл бұрын
Wonderful
@123vijit2 жыл бұрын
please make video on hyperparamter
@krishnaikhindi2 жыл бұрын
Already made
@tariniashritacharya13862 жыл бұрын
Sir, do we provide entire dataset for boosting model? Or like bagging we provide subsets?
@vivekkumar-ij3np2 жыл бұрын
For boosting, we provide entire dataset to 1st model then again that dataset is provided to next model but the second model know, how many error you have done while training in 1st model. This happen till last.
@yashjain4630 Жыл бұрын
Sir Bagging is a Homogeneous Model , So how can you say we can Use Multiple Type of Model In Bagging ?
@entertainment806715 күн бұрын
I am also confused, if we use different types of models in bagging then what is the different between bagging and stacking?
@shubhamSharma-gw1oe2 жыл бұрын
sir please upload remaining video hurry up because our placement session will start in September. Thank you
@niharranjansamal82632 жыл бұрын
Yeah bro same here 🙋🏻♂️
@shilpawaybhase85732 жыл бұрын
Please upload boosting next video
@krishnabhutada39832 жыл бұрын
Krish, is there any library in sklearn for bagging other than Random forest as it uses Decision Trees...Or do we have to test and train individually as we use?
@krishnaik062 жыл бұрын
there is a seperate l;ibrary for random forest in sklearn
@mdmd-un2gd Жыл бұрын
@@krishnaik06 big big heart from bangladesh , Your are videos are top notch , i am in 9 standard .