Machine Learning
Ensemble Methods
Learn about Ensemble Methods and their implementation from scratch in C++ using mlpack. This course covers the understanding and implementation of multiple ensemble methods such as Bagging, Random Forest, AdaBoost, and Stacking. Focus on building these models and aggregating their results without relying on high-level machine learning libraries beyond mlpack.
C++
4 lessons
14 practices
3 hours
Course details
Bagging with Decision Trees
Iris Flower Species Prediction Using Bagging Technique
Bootstrapping Function for Bagging Algorithm
Bagging Predictions Implementation Task
Decision Tree Prediction Aggregation Task
Join the 1M+ learners on CodeSignal
Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal
