Gradient Boosting Algorithms Indepth Intuition- Krish Naik Hindi
Gradient Boosting is a machine learning technique that is used for both regression and classification tasks. It is a type of ensemble method that combines several weak learners into a strong learner. Gradient Boosting algorithms build an additive model in a forward stagewise manner. Each new model is trained to minimize the loss function of the whole model, with respect to the residual errors made by the previous models. The algorithm takes an iterative approach, where each new model tries to correct the errors of the previous models. ---------------------------------------------------------------------------------------------------------------------- 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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