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@ -135,18 +135,23 @@ The result will be the model's predictions for the entire dataset.
2. Bernoulli Naive Bayes 2. Bernoulli Naive Bayes
3. Gaussian Naive Bayes 3. Gaussian Naive Bayes
8. ***Support Vector Classification*** 8. ***Support Vector Classification***
8. ***K-Means*** 9. ***K-Means***
9. ***k-Nearest Neighbors*** 10. ***k-Nearest Neighbors***
10. ***Outlier Finder (Using z-scores)*** 11. ***Outlier Finder (Using z-scores)***
11. ***Linear Algebra Module*** 12. ***Matrix Decompositions***
12. ***Statistics Module*** 1. SVD Decomposition
13. ***Data Processing Module*** 2. Cholesky Decomposition
- Positive Semidefiniteness Checker
3. QR Decomposition
13. ***Linear Algebra Module***
14. ***Statistics Module***
15. ***Data Processing Module***
1. Setting and Printing Datasets 1. Setting and Printing Datasets
2. Feature Scaling 2. Feature Scaling
3. Mean Normalization 3. Mean Normalization
4. One Hot Representation 4. One Hot Representation
5. Reverse One Hot Representation 5. Reverse One Hot Representation
14. ***Utilities*** 16. ***Utilities***
1. TP, FP, TN, FN function 1. TP, FP, TN, FN function
2. Precision 2. Precision
3. Recall 3. Recall