Gradient Boosting Machine Learning Explanation | Explained with Example | Ensemble Learning

[@adityanri]

This was awesome.. After searching alot of tutorial I didn't understand gbm.. But this was nice... Tysm for this.. This is best explanation over whole UA-cam

[@RanjanSharma]

My pleasure 😊 Keep sharing and Exploring bro :)

[@renee1187]

That was very great explanation i watched most of the videos on youtube and no other video was as helpful for me as this is.
Thank you so much

[@supersql8406]

Yup you made me learn a lot! and subscribed! Please make more videos

[@omkar881]

Best Explanation on youtube I have ever seen. Thanx a lot !

[@RanjanSharma]

Thanks :) Keep Exploring :)

[@mama500]

Undoubtedly best explanation given..big thank you!

[@RanjanSharma]

Glad it was helpful! :) . Keep sharing and Exploring bro :)

[@navneetgupta2474]

Hello, I have found the best explanation across youtube, please make video on other boosting techniques ASAP, I will be waiting as i'm preparing for interviews, please also make a video on classification problem with gradient boost.

[@RanjanSharma]

Will be uploading soon.
Please share with your friends as well, if it might be helpful to someone.
Join Whatsapp Group for AI chat.whatsapp.com/L3Zmt9XBa3UCccPfekYvXm
Telegram Group : www.t.me/@MachineLearningIndia

[@ninderjoshi7384]

Good work

[@RanjanSharma]

Thank you! Cheers! Keep Exploring other videos and well.

[@heenagirdher6443]

Thanks. Very Good Explanation. Kindly make video on xGBoost as well.

[@hehehe7542]

Thank you! But Im wondering how we get the first column of predicted value of residuals {25, -14, -13, 24, -10...}

[@vaibhavj12]

Explained soo vividly
Thnx

[@RanjanSharma]

Thanks :) Keep Exploring :)

[@bp6719]

Hi Sir, how we got the RN1 predictied values of residual can you please help ne with

[@nagaratnavn8705]

sir how the predicted values of residuals are calculated

[@santoshhonnungar5543]

Can you do video on ch boosting please

[@subarnasubedi7938]

How did you calculate RM1 ?

[@amulyamaurya1321]

thanks a lot bro😇😇😇😇😇

[@ankitadas8179]

Where is the tutorial for gradient boosting for classification?

[@whebatop]

I would like to see the Classification one . very great work

[@mranaljadhav8259]

Do you got the point how he is predicated the value residuals from RM1? Any formula? How he got the value for 1st record as 25?

[@bandarusailikitha7541]

How we got the residuals in step 2

[@BalaMurugan-cm6ev]

Nice Explanation Bro. . little bit slow is required to understand

[@RanjanSharma]

Ok next time.. thanks ...Keep sharing and Exploring bro :)

[@goodsoundsgoodtastezz6677]

what means the RM1, RM2 and so on...

[@torque2123]

Please explain xgboost also

[@RanjanSharma]

SUre bro will work on the same

[@ajaybandlamudi2932]

I have a question could you please solve it e what is the difference and similarities of Generalised Linear Models (GLMs) and Gradient Boosted
Machines (GBMs)

[@Indian-first]

Sir , your explanation is very nice . In step 2 we have calculated residual based on predicated and actual value. In step 3 you have calculated predicated value of residuals. Can you kindly tell me on what basis you have calculated
Thanks

[@mranaljadhav8259]

Same question. If you got that point in step 3 plz let me know

[@ajaykushwaha-je6mw]

Hi Ranjan in step 3 how you have calculated the Predicted value of Residuals.
As per my calculation i am getting these values.

[@jackyhuang6034]

Remember, you have to treat those residuals as labels and feed them to the DT with the same features. Then DT will give you those predicted value of residuals.

[@mranaljadhav8259]

@@jackyhuang6034 but how you got the that prediction value? I know u used independent feature and residuals as input . But how we get that predicted value? Any formula?

[@smithparekh1423]

where is the vedio ,gradient boost with python and xgboost with explanation and with python programm????