Fatima Jannetmahia.hashnode.dev·Nov 27, 2024ML chapter 10: Model Selection & BoostingWelcome to the final part of our journey. After we built our Machine Learning models, I guess we still have some questions: How do we handle the bias-variance tradeoff when building a model and checking its performance? How do we pick the best valu...10 likes·28 readsMachine Learning (Python)Xgboost
Meemansha Priyadarshinimeemansha.hashnode.dev·Jul 4, 2024Difference between Bagging and BoostingIn this article you will learn about ensemble learning and why it is important for performing machine learning tasks. Ensemble learning uses multiple algorithms to solve regression and classification problems. It combines more than one learner in o...bagging
Sanika Nandpuresanikanandpure.hashnode.dev·May 19, 2024decision tree boosting and xgboostBoosting is a way of making decision tree ensembles both more efficient as well as more accurate. It derives from a practice that you may be already familiar with known as deliberate practice. When preparing for a test, it is often a smart practice t...Xgboost
Yaseen Gyaseeng.hashnode.dev·Apr 24, 2024Ensemble MethodsA group of predictors is called an ensemble; thus, this technique is called Ensemble Learning, and an Ensemble Learning algorithm is called an Ensemble method. Ensemble methods are techniques that aim at improving the accuracy of results in models by...1 likeensemble methods
K Ahameddatailm.hashnode.dev·Jan 11, 2024Harmonizing Predictive Power: Unleashing the Magic of Ensemble MethodsMachine learning has revolutionized the way we approach complex problems, offering unprecedented insights and solutions across various domains. One key challenge in the field is to build models that not only generalize well but also exhibit robustnes...Machine Learningensemble methods
Saurabh Naiksaurabhz.hashnode.dev·Oct 2, 2023Adaboost: The Secret Sauce Behind High-Performance ModelsIntroduction: In the ever-evolving landscape of machine learning algorithms, there exists a powerful ensemble method known as Adaboost (Adaptive Boosting). Adaboost is a technique that combines the predictions of multiple weak learners into a robust ...ML algorithm intuitions with essential conceptsboosting
