Understanding and Applying XGBoost Classification Trees in R
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Ever wonder if you can score in the top leaderboards of any kaggle competition? Look on further! Check out the XGBoost Model, an ensemble boosting method, known for its powerful robustness. This is an industry grade model that is heavily applied in many industries. Knowing this algorithm can get your foot in the door in many industries containing Data Science!!!
Github link:
https://github.com/SpencerPao/Data_Sc...
Data Set Link:
https://archive.ics.uci.edu/ml/datase...
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Additional Material to check out !
Ensemble Method Boosting:
• Ensemble Method: Boosting (Hypothesis...
Ensemble Method Stacking:
• Ensemble Method: Stacking (Stacked Ge...
Ensemble Method Bagging:
• Ensemble Method: Bagging (Bootstrap a...
Methods of Sampling:
• Sampling Data with SMOTE, Tomek Links...
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0:00 - In-depth explanation of XGBoost
5:00 - Summary of XGBoost Algorithm
6:03 - Understanding Data & Applying XGBoost
11:20 - Explaining XGBoost Gridsearch Parameters
14:25 - TrainControl & Final model & Evaluation
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