AdaBoost Ensemble Learning Solved Example Ensemble Learning Solved Numerical Example Mahesh Huddar

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AdaBoost Ensemble Learning Solved Example Ensemble Learning Solved Numerical Example by Mahesh Huddar

The following concepts are discussed:
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AdaBoost,
AdaBoost ensemble,
AdaBoost ensemble learning,
AdaBoost example by hand,
AdaBoost algorithm,
AdaBoost ensemble learning algorithm,
AdaBoost ensemble classifier,
AdaBoost regression example,
AdaBoost explained,
AdaBoost solved numerical problems,
AdaBoost solved a numerical example

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Your numerical example videos are always very good. But in this case I think there's a mistake. The feature 'practical knowledge' is a pure class and should be considered as the 1st stump in final decision and the second feature should be chosen in a way which gives the next purest decision tree and in this case that is 'Interactiveness' and not 'CGPA'. The order of features used for calculation is incorrect and hence the weight of the samples is incorrect. Let me know if I have understood it incorrectly.

the_curious_dataite_
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sir why you calculate weight of all data instances if there is no longer use of them in last step ?

princesahu
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thank you sir for your explanation.
I'd like to ask about the formula of calculating the weight of each weak classifier, I don't get the same results as yours, is it a Napierian logarithm or a logarithm of another base?

bouchrahacine
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sir apne ccorrect kee liye 0 bola tha and incorrect ke liye 1 but yaha toh apne last weighted avg jab nickal rahe the yes ko 1 or no ko 0 kyu kara ??

Tarun
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sir what about gradient boosting please upload a video sir

mr_mouli_
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Hai sir, your explanation is mind blowing with best example may I get your no to contact.

learnprogramming
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