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sort the Algorithms #379

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Jan 25, 2022
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sort the Algorithms #379

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27 changes: 14 additions & 13 deletions Machine-Learning/Sources.md
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Expand Up @@ -142,27 +142,28 @@ category: Libraries

### Algorithms

* Kernel Density Estimation and Non-parametric Bayes Classifier
* K-Means
* Affinity Propagation
* Apriori
* Autoencoders
* Bagging and boosting
* Bootstrapped SVM
* DBSCAN
* Decision Tree
* Dimensionality Reduction
* Fast Singular Value Decomposition
* Hierarchical clustering/Agglomerative clustering
* Kernel Density Estimation and Non-parametric Bayes Classifier
* Kernel Principal Components Analysis
* K-Means
* Linear Discriminant Analysis (LDA)
* Linear Regression
* Logistic Regression
* Neighbors (Nearest, Farthest, Range, k, Classification)
* Non-Negative Matrix Factorization
* Support Vector Machines
* Dimensionality Reduction
* Fast Singular Value Decomposition
* Decision Tree
* Random Forest
* Bootstrapped SVM
* DBSCAN
* Principal Component Analysis(PCA)
* Linear Discriminant Analysis (LDA)
* Autoencoders
* Bagging and boosting
* Apriori
* Random Forest
* Support Vector Machines


[⬆ Back to Top](#table-of-contents)

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