A Practical Guide to Dimensionality Reduction

Dimensionality reduction is an important step when working with high-dimensional data and is commonly used before applying supervised or unsupervised machine learning methods.

In this course, you will explore key approaches to dimensionality reduction and apply them to a real-world high-dimensional dataset.

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