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| Name | Bagging & Ensemble Models| Bootstrap aggregation | Data Science in R |
| Video Uploader | Video From Analytics University |
| Upload Date | This Video Uploaded At 17-04-2017 01:27:26 |
| Video Discription | Decision Tree, though a good model to interpret the outcomes, not a good model in terms of prediction accuracy. Bagging is a combination of several decision trees that helps in improving the prediction accuracy of decision tree model. It can be used for both regression & classification problems Contact :analyticsuniversity@gmail.com ANalytics Study Pack : https://analyticuniversity.com/ Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity Logistic Regression in R: https://goo.gl/S7DkRy Logistic Regression in SAS: https://goo.gl/S7DkRy Logistic Regression Theory: https://goo.gl/PbGv1h Time Series Theory : https://goo.gl/54vaDk Time ARIMA Model in R : https://goo.gl/UcPNWx Survival Model : https://goo.gl/nz5kgu Data Science Career : https://goo.gl/Ca9z6r Machine Learning : https://goo.gl/giqqmx Data Science Case Study : https://goo.gl/KzY5Iu Big Data & Hadoop & Spark: https://goo.gl/ZTmHOA ab3IcEPwa3A |
| Category | Education |
| Tags | bagging | boosting | ensemble learning | machine learning | tree model | decision tree | support vector machine | linear regression | logistic regression | neural network | deep learning | big data | kaggle | cross validation | analytics | statistics | statistical modelling | bagging in R | boostrapping | linear discrimnant analysis | principal component analysis | factor analysis | rstat | time series forecasting |
