ML-Notebooks

This repository contains code examples for machine learning tasks and algorithms. You are free to use them for educational and research purposes.

Getting Started

Name	Description	Notebook
Data Preprocessing	Apply data preprocessing methods
Find-S Algorithm	Implement Find-S Algorithm
Candidate Elimination Algorithm	Implement Candidate Elimination Algorithm
Decision Tree Algorithm	Implement Decision Tree Algorithm
K Nearest Neighbor Algorithm	Implement KNN Algorithm
K-Means Algorithm	Implement K Means Algorithm
Naive Bayes Algorithm	Implement Naive Bayes Algorithm
Support Vector Machine	Implement SVM Algorithm

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If you have any questions regarding these notebooks, please open an issue. I will address it as soon as possible.