Certificate in Decision Trees: Design Best Practices
-- ViewingNowThe Certificate in Decision Trees: Design Best Practices is a crucial course for professionals seeking to improve their data analysis skills. Decision trees are a popular machine learning technique, widely used in industries such as finance, healthcare, and technology for their ability to handle both numerical and categorical data, making them highly versatile and valuable.
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⢠Understanding Decision Trees
⢠Data Preprocessing for Decision Trees
⢠Types of Decision Trees: Classification vs Regression
⢠Building Decision Trees in Python (using scikit-learn, etc.)
⢠Decision Tree Hyperparameters Tuning
⢠Pruning Decision Trees
⢠Ensemble Methods: Bagging, Boosting, and Random Forests
⢠Evaluating Decision Tree Models
⢠Advanced Topics: Decision Tree Imbalanced Data, Cost-Sensitive Decision Trees, etc.
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