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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

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