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Urgench Introduction to Machine Learning and Data Mining 24/25
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Urgench Introduction to Machine Learning and Data Mining 24/25
Lectures
Example: Decision tree
Example: Decision tree
Completion requirements
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Example: Decision tree
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◄ Decision trees -- introduction
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Data Mining: Practical Machine Learning Tools and Techniques (4th ed.) - table of contents
Data Mining and Analysis - free book
Lecture 1: What is it all about
The CRISP-DM standard
What have I learned?
Input concepts
What have I learned?
Visualization
What have I learned?
Example: load ARFF file, simple vizualization
Data preparation
What have I learned?
Output and knowledge reprezentation
Example: linear regression
Simple classification methods
Example: zero-R amd One-R
Example: Naive Bayes Classification
What have I learned?
Decision trees -- introduction
What have I learned?
Evaluation
What have I learned? ►