In this article, we will discuss how ensembling methods, specifically bagging, boosting, stacking, and blending, can be applied to enhance stock market prediction. And How AdaBoost improves the stock market prediction using a combination of Machine Learning Algorithms Linear Regression (LR), K-Nearest Neighbours (KNN), and Support Vector Regression (SVR) and How the models are combined using the ensemble method, AdaBoostRegressor, to improve overall prediction accuracy.
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