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Data analysis: classification, regression, other tasks

General principles
General principles


Linear regression
Linear regression

Multinomial logit regression
Multinomial logit regression

Neural networks
Backpropagation neural networks

Neural network ensembles
Neural network ensembles

Decision forest
RDF algorithm


Linear discriminant analysis
Linear discriminant analysis

Principal component analysis
Principal component analysis

Clustering (hierarchical, k-means++)
Different clustering algorithms


Neural networks: improving generalization
Article with review of basic concepts

 

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