Dimensionality Reduction videos

Dimensionality Reduction - Code

Feature Selection Methods

Feature Correlation

Clustering Data

In feature selection, we select a subset of features from the data set to train machine learning algorithms. They do not alter the original features distribution. Dimensionality reduction methods, like PCA, alter the original representation of the variables.

• Article - Feature Selection in Machine Learning

Dimensionality Reduction for Tabular Data

Tabular Data

• How to use dimensionality reduction for tabular data?

Algorithms to reduce dimensionality

PCA

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UMAP