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6 Dimensionality Reduction Techniques: How and When to use them?
May 24, 2022, 5:46 p.m. | Kevin Berlemont, PhD
Towards Data Science - Medium towardsdatascience.com
6 Dimensionality Reduction Techniques
How and when to use them
Photo by Rodion Kutsaiev from PexelsIn the age of big data, data scientists are using datasets that possess more and more features. This leads to a very well know effect: the curse of dimensionality. When the number of features increases, after a certain point, the performance of the model will decrease. This is due to the fact that the density of the data points is going to decrease as …
data science data visualization dimensionality dimensionality-reduction machine learning python
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