Decision Trees, Random Forests, AdaBoost & XGBoost in Python - Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python
I found a course on Udemy that might be helpful for you. The course is called “Decision Trees, Random Forests, AdaBoost & XGBoost in Python” and it covers advanced decision tree-based algorithms such as Random Forest, Bagging, AdaBoost and XGBoost. You will learn how to create a tree-based model in Python and analyze its result. The course will help you confidently practice, discuss and understand machine learning concepts
What you'll learn
- Get a solid understanding of decision tree
- Understand the business scenarios where decision tree is applicable
- Tune a machine learning model's hyperparameters and evaluate its performance.
- Use Pandas DataFrames to manipulate data and make statistical computations.
- Use decision trees to make predictions
- Learn the advantage and disadvantages of the different algorithms
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