Adaboost ML Algorithm Indepth Intuition- Krish Naik Hindi

An AdaBoost classifier is a meta-estimator that begins by fitting a classifier on the original dataset and then fits additional copies of the classifier on the same dataset but where the weights of incorrectly classified instances are adjusted such that subsequent classifiers focus more on difficult cases.
This class implements the algorithm known as AdaBoost-SAMME
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[@krishnaikhindi]

Pado aur Duwao mein yaad karo :)

[@krishnaikhindi]

@@dhruvinchawda4266 decision tree jaise banta hai waise

[@swarupdas4114]

Krish Naik Hindi hello sir.. the price and the course validity of tech neuron is not worth it. Please make it 5 years, for 25000

[@vishalsingh-ku4uk]

Awsome explanation

[@ramdasprajapati5235]

Super se bhi upar...❤❤❤

[@rohitrohit6883]

Sir, study material kha se milega ye plz help

[@satyapattnayak1003]

your best part of yours is the way of explanation and summery.

[@anilkhambadkar6016]

Beautifully covered the mathematical intuition.

[@vaishhh_likhii]

ONE Day before exam..well explained sir :)

[@abhishekpiwal1859]

how is the formula for performance of stump is derived?

[@sauravsahay8803]

But you said that we will only pass the incorrectly categorised data to next DT then where does decreasing the weights of correctly classified data come into picture?

[@sheetalgadpade6330]

Did u get the answer,I have same doubt too

[@sauravsahay8803]

@@sheetalgadpade6330 just save the documents, ctrl+s and then run the code

[@nothuman8989]

@@sauravsahay8803 Bro actually in another iteration there will be those data points who are misclassified (wrong prediction) and some datapoints which were not sampled for the 1 iteration .

[@nothuman8989]

actually it is the method to tell algo which are missclassified records , so we increase the weight of missclassfied ones and decrease the weight of correct records .

[@gazalsingla]

in final output y did we subtract the last value

[@Harsh-ge8ji]

For regression problems do we need to put values of corresponding independant variable in final equation instead of yes /no?

[@prabinsharma1169]

Great krrish sir

[@prashudeshmukh7902]

How output will be given in case of regression ?

[@Dhruvin_Sojitra]

Sir, which weight will be used for the second model the older one or the updated one?

[@uditjec8587]

Second model ke liye sample weight kya hoga. Updated wala ya fir equal

[@itzdarshan7111]

sir the perfomance calculation is wrong it should be 0.389 instead of 0.896

[@vedantrahane]

sir, please add the notes of this lecture to the GitHub repository as they are not present.

[@rushatpatil3200]

Great content

[@niluthonte45]

Thank you sir

[@amangoyal640]

sir pdf of this lecture is not availiable on your github pls upload sir 🙏

[@enjoyyourlifewithParas]

Sir basic say python kha say sikh saktay hai????

[@pkumar0212]

👌

[@arfius6134]

best

[@enjoyyourlifewithParas]

Sir manay abhi 12 th exam diyay hai or m bca in AI karugi.....and i want to became data scientist....tho data scientist ki tayari kab say start hoti hai???Kasay hotta hai?? I need your guidance pls tell sir

[@pewpewpew1177]

abe 12 pass kiya h chill kro

[@anandkumarsinghCS]

sir if possible to you, kindly provide us lecture notes in pdf form 🙏🙏🙏🙏

[@ninjaarashii]

Waiting for Neural Network Videos sir

[@ProgramwithVishal]

What is ln in 1/2 ln(1-te)/te

[@Tech_Enthusiasts_Shubham]

Amazing stuff sir please continue this series 🙏 for machine learning algorithms further

[@akbarmohammad5081]

Good explanation krish we are waiting for next videos ❤

[@Harsh-r6x]

thank you sir for the easy explanation of such complex topic

[@hammerislive4837]

Thanks Krish for explaining so clearly 🙏🙏🙏🙏.Waiting for further videos too on boosting 😀.

[@mdmusaddique_cse7458]

Fantastic! Such simple and easy to understand!

[@syedabdullahhassan589]

Sir PDF of lecture

[@surajprakash4630]

Thankyou sir

[@enjoyyourlifewithParas]

And sir jho aapnay data scientist may statistics vagara btaya hai vho bca in AI kay 1st semester may hogga kya??? Aap please suggest kar degiyay ki vho concepts abhi say hi prepare karna start karu kya????

[@pewpewpew1177]

1 -2 saal chill kro fir padna

[@enjoyyourlifewithParas]

@@pewpewpew1177 Bhai Life kay yay 3 saal (graduation) Kay aapki aani vali jindagi bnatay hai...jho inh 3 saal mehnat kar legga..usay baad may pachtana nhi padhayga

[@pewpewpew1177]

@@enjoyyourlifewithParas why so serious... Stay calm and carry on