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@ -75,3 +75,19 @@ Machine learning is a vast and exiciting discipline, garnering attention from sp
- Horizontal/Vertical Sobel Filter
- Horizontal/Vertical Scharr Filter
- Horizontal/Vertical Roberts Filter
6. ***Principal Component Analysis***
7. ***Naive Bayes Classifiers***
1. Multinomial Naive Bayes
2. Bernoulli Naive Bayes
3. Gaussian Naive Bayes
8. ***KMeans***
9. ***k-Nearest Neighbors***
10. ***Outlier Finder (Using z-scores)***
11. ***Linear Algebra Module***
12. ***Statistics Module***
13. ***Data Processing Module***
1. Setting and Printing Datasets
2. Feature Scaling
3. Mean Normalization
4. One Hot Representation
5. Reverse One Hot Representation