Statistics

k-means

Here you can find how to work with k-means cluster analysis.

Learning Vector Quantization

Learning Vector Quantization using R

Naive Bayes

Naive Bayes

Support Vector Machine

Support Vector Machine.

How to split data into train and test subsets?

Here you will learn approaches to split your data into subsets - train and test for your modeling.

Neuralnet R

Examples of Neural Network classification using Neuralnet R package.

Uniform Manifold Approximation and Projection (UMAP)

Unsupervised method for dimentionality reduction - Uniform Manifold Approximation and Projection (UMAP).

Hierarchical cluster analysis

Here you can find how to work with hierarchical cluster analysis, how choose number of cluseter and how to choose the best model.

Logistic regression

Logistic regression

Hypothesis testing

Hypothesis testing.