Throughout the project, you will be equipped with the tools to perform data compression, visualization, and denoising by leveraging the power of PCA.  PCA is a methodology to reduce the dimensionality of a complex problem which you will be practicing in this guided project by using it on tasks like Facial Recognition, Image Compression and Finding patterns in data of high dimension in the field of quantitative finance.

By the end of this guided project, you will have mastered the art of Principal Component Analysis and its applications. You will be equipped to reveal hidden insights, compress data, and create impactful visualizations, making you a more proficient data explorer and analyst. 

This guided project is tailored for data enthusiasts, analysts, and machine learning practitioners eager to unlock the potential of PCA in their data exploration journey. Participants should have a basic understanding of linear algebra, machine learning concepts, and programming fundamentals.