Machine Learning
2,336 learners
Ensemble Methods from Scratch
Learn about Ensemble Methods and their implementation from scratch. This course covers the understanding and implementation of multiple ensemble methods such as Bagging, Random Forest, AdaBoost, and Gradient Boosting Machines like XGBoost without relying on high-level libraries.
Numpy
Python
Scikit-learn
4 lessons
16 practices
3 hours
Course details
Ensemble Predictions with Bagging and Decision Trees
Navigating the Data Cosmos with Bootstrapping and Prediction Functions
Implementing Bootstrapping and Prediction in Ensemble Learning
Predicting with Bagging and Decision Trees
Observing Bagging with Decision Trees in Action
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