Math

Here you can find how to work with k-means cluster analysis.
3 min read Statistics

Learning Vector Quantization using R
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Naive Bayes
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Support Vector Machine.
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Here you will learn approaches to split your data into subsets - train and test for your modeling.
2 min read R, Statistics

Examples of Neural Network classification using Neuralnet R package.
4 min read Statistics

Unsupervised method for dimentionality reduction - Uniform Manifold Approximation and Projection (UMAP).
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Here you can find how to work with hierarchical cluster analysis, how choose number of cluseter and how to choose the best model.
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Logistic regression
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Hypothesis testing.
8 min read R, Statistics