Web Reference: Jul 23, 2025 · Steps to Apply PCA in Python for Dimensionality Reduction We will understand the step by step approach of applying Principal Component Analysis in Python with an example. This tutorial is divided into three parts; they are: 1. Dimensionality Reduction 2. Dimensionality Reduction Algorithms 3. Examples of Dimensionality Reduction 3.1. Scikit-Learn Library Installation 3.2. Classification Dataset 3.3. Principal Component Analysis 3.4. Singular Value Decomposition 3.5. Linear Discriminant Analysis 3.6. Isomap Embedding... In the first part of this article, we'll discuss some dimensionality reduction theory and introduce various algorithms for reducing dimensions in various types of datasets.
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