BAGGING: Ensemble Learning Method in Machine Learning
#ensemble #bagging #Shorts
Ensemble methods In machine learning combines several base models in order to produce one optimal predictive model. Bagging is a type of ensemble that averages out result from multiple models over different splits of the data resulting in lower variance.
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I am Prakhar Mishra and this channel is my passion project. I am currently pursuing my MS (by research) in Data Science. I have an industry work-ex of 3 years in the field of Data Science and Machine Learning with a particular focus on Natural Language Processing (NLP).