ADAboost (Adaptive Boost) a Machine learning algorithm theory
#datascience #machinelearning #adaboost
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Video Description and link used in this videos:
In this video, we dive into the theory behind ADABoost (Adaptive Boosting), a powerful machine learning algorithm. ADABoost is an ensemble method that combines multiple weak learners to create a strong learner. It is widely used for classification and regression tasks. In this Urdu explanation, we explore the concept of boosting, how ADABoost works, and its key components, such as weak learners and sample weights. We also discuss the boosting process and how it improves the model's performance over iterations. If you want to gain a better understanding of ADABoost and its role in machine learning, this video is for you. Watch now and enhance your knowledge of this fascinating algorithm.
https://towardsdatascience.com/the-ul...
/ a-quick-guide-to-boosting-in-ml
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