Information theory studies the quantification of information, its storage and communication. We introduce concepts of information entropy and information gain that are used to construct a decision tree using ID3 algorithm.
- Preface
- Classification Using K Nearest Neighbors
- Naive Bayes
- Decision Trees
- Random Forest
- Clustering into K Clusters
- Regression
- Time Series Analysis
- Statistics
- R Reference
- Python Reference
- Glossary of Algorithms and Methods in Data Science
Information theory
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