Masterclass Certificate in Decision Trees and Machine Learning
-- ViewingNowThe Masterclass Certificate in Decision Trees and Machine Learning is a comprehensive course that equips learners with essential skills for career advancement in data analysis and machine learning. This course covers the fundamentals of decision trees and advanced machine learning techniques, enabling learners to make accurate predictions and informed decisions based on data.
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โข Decision Trees: An Introduction
โข Types of Decision Trees: Classification and Regression Trees
โข Key Concepts: Entropy, Information Gain, and Gini Impurity
โข Building a Decision Tree: Algorithms and Techniques
โข Overfitting and Pruning in Decision Trees
โข Ensemble Methods: Bagging, Boosting, and Random Forests
โข Advanced Topics: Gradient Boosted Decision Trees and XGBoost
โข Implementing Decision Trees in Python with Scikit-learn
โข Real-world Applications and Case Studies of Decision Trees and Machine Learning
โข Best Practices and Evaluation Metrics for Decision Trees and Machine Learning Models
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