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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⢠Decision Trees: An Introduction
⢠Types of Decision Trees: Classification and Regression Trees
⢠Key Concepts: Entropy, Information Gain, and Gini Impurity
⢠Building a Decision Tree: Algorithms and Techniques
⢠Overfitting and Pruning in Decision Trees
⢠Ensemble Methods: Bagging, Boosting, and Random Forests
⢠Advanced Topics: Gradient Boosted Decision Trees and XGBoost
⢠Implementing Decision Trees in Python with Scikit-learn
⢠Real-world Applications and Case Studies of Decision Trees and Machine Learning
⢠Best Practices and Evaluation Metrics for Decision Trees and Machine Learning Models
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