Machine Learning Algorithms

This repository explains various Machine Learning algorithms and their implementation in sklearn in the form of projects.

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
1. KNN Implementation.ipynb		1. KNN Implementation.ipynb
2. Naive Bayes Implementation.ipynb		2. Naive Bayes Implementation.ipynb
3. Logistic Regression Implementation.ipynb		3. Logistic Regression Implementation.ipynb
4. SVM Implementation.ipynb		4. SVM Implementation.ipynb
5. Random Forest Implementation.ipynb		5. Random Forest Implementation.ipynb
6. XGBoost Implementation.ipynb		6. XGBoost Implementation.ipynb
Data.csv		Data.csv
README.md		README.md

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