Ensemble learning : Voting classifier explained with practical proofs🤓

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Hello python geeks, In this video Im going to demonstrate how the ensemble learning approach increases the accuracy of the machine learning model with some practical proof, Watch this video fully to understand everything about this..!

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  1. AK Python
  2. akpython
  3. ensemble learning
  4. machine learning
  5. voting classifier
  6. bagging explained
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Комментарии
Автор

Sir urgent question
I want to make my 'target' count same for 0 and 1 for whole DataFrame.
With sequence 0, 1, 0, 1
Please reply

akashdeepsinghrana
Автор

Sir i have an urgent query please answer🙏
Can i give kmeans prediction value of X matrix to ' y' instead if directy ' y'

model=KMeans(n_clusters=2, random_state=0).fit(X)
y=model.predict(X)

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.4, random_state=0)

akashdeepsinghrana
Автор

Thanks for the useful tutorial. I got a question, I have a categorical target, I converted them to numerical using LabelEncoder() but when i apply the voting on it, it gave me 0 accuracy maybe because of high number of classes . How can I fix this problem and get a good accuracy?

sadafasfa
Автор

so it seems that voting is a version of bagging ? or the opposite?

zerr