Data Mining With Python and R
1. Preface
2. Python or R for data analysis?
3. Getting Started
4. Data Exploration
5. Data Manipulation
6. Pre-processing procedures
7. Summary of Data Mining Algorithms
8. Dimension Reduction Algorithms
9. Regression Algorithm
10. Classification ALgorithms
10.1. Logistic Regression (LR)
10.2. k-Nearest Neighbour (kNN)
10.3. Linear Discriminant Analysis (LDA)
10.4. Quadratic Discriminant Analysis (QDA)
11. Regularization ALgorithms
12. Resampling Algorithms
13. Developing Your Own R Packages
14. Developing Your Own Python Packages
Data Mining With Python and R
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10. Classification ALgorithms
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10. Classification ALgorithms
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10.1. Logistic Regression (LR)
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10.2. k-Nearest Neighbour (kNN)
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10.3. Linear Discriminant Analysis (LDA)
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10.4. Quadratic Discriminant Analysis (QDA)
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