GitHub - akarshankapoor7/AdaBoost_tutorial: The AdaBoost (Adaptive Boosting) algorithm is a popular ensemble method used in machine learning to improve the performance of weak classifiers. It combines multiple weak classifiers to create a strong classifier, focusing more on the misclassified instances in each subsequent iteration.

This tutorial will tell you about the hyperparameter tuning in AdaBoost (Adaptive Boosting ) technique.

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Adaboost_hyperparameters_explained.ipynb		Adaboost_hyperparameters_explained.ipynb
README.md		README.md

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