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Create a Jupyter Notebook tutorial that introduces Principal Component Analysis (PCA) for dimensionality reduction. Explain the concept of PCA, and its applications, and provide a tutorial on how to use it in machine learning projects.
Acceptance Criteria
[ ] Submit a Jupyter notebook containing the tutorial and the necessary datasets if need
[ ] Modify the README.md file to include the new tutorial and a link to the added notebook
Description
Create a Jupyter Notebook tutorial that introduces Principal Component Analysis (PCA) for dimensionality reduction. Explain the concept of PCA, and its applications, and provide a tutorial on how to use it in machine learning projects.
Acceptance Criteria