Machine-Learning-Algorithms

A collection of essential machine learning algorithms. Coded and annotated in Python.

Not for production. Intended for the purposes of reviewing algorithm procedures.

Name		Name	Last commit message	Last commit date
Latest commit History 43 Commits
0. Linear Regression.ipynb		0. Linear Regression.ipynb
1. Adaline Perceptron.ipynb		1. Adaline Perceptron.ipynb
2. Logistic Regression.ipynb		2. Logistic Regression.ipynb
3. K Nearest Neighbors.ipynb		3. K Nearest Neighbors.ipynb
4. Decision Tree.ipynb		4. Decision Tree.ipynb
5. Random Forest.ipynb		5. Random Forest.ipynb
6. Naive Bayes.ipynb		6. Naive Bayes.ipynb
7. Linear Discriminant Analysis.ipynb		7. Linear Discriminant Analysis.ipynb
8. Principal Component Analysis.ipynb		8. Principal Component Analysis.ipynb
9. Neural Network.ipynb		9. Neural Network.ipynb
README.md		README.md

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