Explore the fundamentals of decision tree algorithms in this comprehensive tutorial on machine learning. Learn about different types of decision trees, their applications in classification and regression problems, and key concepts like splitting criteria and tree sizing. Dive into a practical case study on gold loan attrition, understand the differences between tree models and logistic regression, and discover career opportunities in analytics. Gain insights into important metrics like Gini index and entropy, explore various decision tree algorithms, and analyze their advantages and disadvantages. Work through a detailed decision tree example and conclude with a summary of key takeaways. Perfect for aspiring data scientists and machine learning enthusiasts looking to master this versatile and widely-used algorithm.
Decision Tree Algorithm Tutorial - Machine Learning and Example
Overview
Syllabus
- Introduction to decision tree.
- What is decision tree learning and its types.
- Classification tree learning and important terms.
- Difference between tree model and logistic regression model.
- Decision Tree Case Study: Gold loan attrition problem.
- Career Fields in Analytics.
- Gini index, entropy,.
- Decision tree algorithms.
- Advantages and disadvantages of decision tree.
- Decision tree example.
- Summary.
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