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.

VedikaSrivastava / MachineLearning Public

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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.

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Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
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.

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

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