Fundamentals of Machine Learning - PCA

The video tutorial introduces Principal Component Analysis (PCA), an unsupervised learning method. It covers the setup of the environment using libraries like Numpy and scikit-learn, and demonstrates the implementation of PCA on a dataset. The tutorial explains how to visualize PCA components and applies PCA to a human face dataset, highlighting how PCA can simplify data by focusing on key features.

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