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Implementation of Decision Tree with ensemble methods which include Bagging and Adaboost.

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Decision-Tree

Welcome !!

This repository contains implementation of Decision Tree with Bagging and Adaboost. I have tried to keep things consistent scikit-learn, you will find many fimilarities with the notations used in scikit-learn and this code.

Please feel free to get in touch with me([prateekbhat91][@][gmail.com]remove the square brackets.) if you can find any issues or want to improve this code.

To be implemented: Sampling in adaboost.

Example usage:

from decisiontree import DecisiontreeClassifier

decisiontree = DecisiontreeClassifier()

decisiontree.fit(Xtrain,ytrain)

decisiontree.predict(Xtest)

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Implementation of Decision Tree with ensemble methods which include Bagging and Adaboost.

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