What Is Boosting Technique In Machine Learning- Krish Naik Hindi
Boosting is a popular technique in machine learning used to improve the performance of a weak learner by combining the predictions of several models. In boosting, a set of weak classifiers are trained iteratively, where each classifier is trained on a subset of the data, with the aim of improving the overall performance of the model. The weak classifiers are typically simple models that have low accuracy, such as decision trees. ------------------------------------------------------------------------------------------------------------------- Join the PWSKILLS Data Science Masters Course Best Affordable Data Science Course From Pwskills(6-7 Months) Impact Batch 2.0:- Data-Science-Masters (Full Stack Data Science) 1. Data Science Masters Hindi: http://bit.ly/3TPdrDz (Hindi) 2. Data Science Masters English: https://bit.ly/40gZ9hn (English) --------------------------------------------------------------------------------------------------------------------- Join Memebership to support me and helo me create more amazing videos / @krishnaikhindi ----------------------------------------------------------------------------------------------------------------------- Subscribe @Krish Naik Channel For Data Science Videos In English. channel link: https://bit.ly/3aeve4r ML playlist in hindi: https://bit.ly/3NaEjJX Stats Playlist In Hindi:https://bit.ly/3tw6k7d Python Playlist In Hindi:https://bit.ly/3azScTI Website: https://krishnaik.in Check out our courses: https://ineuron.ai Connect with me here: Twitter: / krishnaik06 instagram: / krishnaik06
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