10 machine learning algorithms you need to know

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Supervised Learning

1. Decision Trees

2. Naïve Bayes Classification

3. Ordinary Least Squares Regression

4. Logistic Regression

5. Support Vector Machines (SVM)

6. Ensemble Methods

Unsupervised Learning

7. Clustering Algorithms

8. Principal Component Analysis — PCA

9. Singular Value Decomposition

10. Independent Component Analysis

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