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Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.

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lucko515/dataset-dimensionality-reduction-python

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LDA

LDA

 
 

PCA

PCA

 
 

algorithms_numpy

algorithms_numpy

 
 

t-SNE

t-SNE

 
 

README.md

README.md

 
 

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Dimensionality reduction using Python

In this repository you will find 3 different use cases of dimensionality reduction algorithms in practice.

Note: In the folder algorithms_numpy you will find custom implementation of PCA algorithm using only numpy.

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Each project has its own README where you will find more information about a project itself.

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Each project has MIT license

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Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.

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machine-learning pca dimensionality-reduction lda tsne kernel-pca

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