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This folder contains the basic algorithms of ML implemented with Python.

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Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
Regression		Regression
.gitignore		.gitignore
Classification Model V1.1.ipynb		Classification Model V1.1.ipynb
Classification Model V1.2.ipynb		Classification Model V1.2.ipynb
Decision Tree.ipynb		Decision Tree.ipynb
Diabetes Dataset 1.ipynb		Diabetes Dataset 1.ipynb
Diabetes Dataset 2.ipynb		Diabetes Dataset 2.ipynb
Ensemble ML Techniques.ipynb		Ensemble ML Techniques.ipynb
KNN Regression & Classification.ipynb		KNN Regression & Classification.ipynb
Linear Regression 1.ipynb		Linear Regression 1.ipynb
Linear Regression 2.ipynb		Linear Regression 2.ipynb
Linear Regression step-by-step Guide with Explaination.ipynb		Linear Regression step-by-step Guide with Explaination.ipynb
Logistic Regression (Binary Classification).ipynb		Logistic Regression (Binary Classification).ipynb
Logistic Regression (Multiclass Classification).ipynb		Logistic Regression (Multiclass Classification).ipynb
Rent.csv		Rent.csv
Support Vector Machine.ipynb		Support Vector Machine.ipynb
housing.csv		housing.csv
insurance.csv		insurance.csv
weight-height.csv		weight-height.csv

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tanvirnwu/ML-Algorithms--Scikit-learn--Python

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