GitHub - VedikaSrivastava/MachineLearning: The repository showcases the easiest way to use some basic ML algorithms. While some algorithms have been implemented from scratch, library functions are used in others.

Name		Name	Last commit message	Last commit date
EM.ipynb		EM.ipynb
Gradient_Descent.ipynb		Gradient_Descent.ipynb
Kmeans_clustering.ipynb		Kmeans_clustering.ipynb
PCA.ipynb		PCA.ipynb
SVM.ipynb		SVM.ipynb
bayes_decision_theory.ipynb		bayes_decision_theory.ipynb
decision_tree.ipynb		decision_tree.ipynb

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The repository showcases the easiest way to use some basic ML algorithms. While some algorithms have been implemented from scratch, library functions are used in others.

bayes-classifier decision-tree-classifier expectation-maximization gradient-descent-regression kmeans-clustering principal-component-analysis support-vector-machines

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