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About Ensemble Method | Machine Learning

Ensemble methods is a machine learning technique that combines several base models in order to produce one optimal predictive model. ensemble methods take a myriad of models into account, and average those models to produce one final model. To know more watch video. Note: Scroll Down to find your topic related to Machine Learning. ====================================== || Please Like, Share and Subscribe Channel || ====================================== Click on this link for full playlist of Machine Learning:    / @embedbytes   Learn Machine Learning here with ease from basics. Many examples are discussed to explain topic with clear understanding. This section contains following topics in detail: What is Machine Learning? Machine Learning- Analytics Descriptive Analytics Predictive Analytics Prescriptive Analytics Relation between Artificial Intelligence and Machine Learning Importance of Machine Learning Evolution of Machine Learning Benefits of Machine Learning Real Life Examples of Machine Learning Types of Machine Learning Supervised Learning Unsupervised Learing Classification Classification Examples Technique to solve Classification Problems Decision Tree Formula of Entropy k- Nearest Neighbor(kNN) Algorithm Support Vector Machine(SVM) How Support Vector Machine Works? What is best Hyperplane? How to separate Vectors? Kernel Function in Support Vector Machine(SVM) Regression Types of Regression Linear Regression How to determine Weights and Bias? Logistic Regression Ensemble About Ensemble Method Ensemble by Voting Boosting Random Forest Association Analysis Key Metrics in Associaton Analysis Support- Association Rule Confidence- Association Rule Lift- Association Rule Apriori Algorithm Mining Rules Clustering Types of Clustering Techniques Types of Cluster Implementation of Clustering Process of Finding Clusters k means Clustering We hope you would get something if you have visited here.