AndreasScharnetzki/MachineLearningFundamentals

A notebook about commonly used machine learning algorithms.

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Topics

linear-regression multivariate-regression logistic-regression classification value-prediction multi-class-classification sklearn matplotlib decision-tree-classifier hyperparameter-tuning svm-classifier k-fold-cross-validation gridsearchcv python supervised-learning unsupervised-learning machine-learning kmeans-clustering naive-bayes-classifier regularization

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