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CodeSignal

Ensemble Methods from Scratch

via CodeSignal

Overview

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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.

Syllabus

  • Lesson 1: Implementing Bagging with Decision Trees in Python
  • Lesson 2: Deep Dive into Random Forest: From Concepts to Real-World Application
  • Lesson 3: Demystifying AdaBoost: A Practical Guide to Strengthening Predictive Models
  • Lesson 4: Enhancing Machine Learning Predictions with Stacking Ensemble Techniques

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