Certificate in Decision Trees: A Modern Approach
-- ViewingNowThe Certificate in Decision Trees: A Modern Approach is a comprehensive course designed to equip learners with essential skills in decision tree analysis. This course emphasizes the importance of data-driven decision-making and provides hands-on experience with state-of-the-art techniques in the field.
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โข Introduction to Decision Trees
โข Types of Decision Trees: Classification and Regression Trees
โข Building Decision Trees: Data Preparation and Feature Selection
โข Decision Tree Algorithms: ID3, C4.5, and CART
โข Overfitting and Pruning in Decision Trees
โข Ensemble Methods: Bagging, Boosting, and Random Forest
โข Advanced Topics: Cost-Sensitive Learning, Multi-output Decision Trees, and Oblique Trees
โข Evaluation Metrics for Decision Trees: Accuracy, Precision, Recall, F1-score, and ROC Curve
โข Real-World Applications of Decision Trees: Credit Scoring, Fraud Detection, and Medical Diagnosis
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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