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Principal-Component-Analysis-using-numpy

Task 1: Load the Data and Import Libraries

Task 2: Visualize the Data

Task 3: Data Standardization

Task 4: Compute the Eigenvectors and Eigenvalues

Task 5: Singular Value Decomposition (SVD)

Task 6: Selecting Principal Components Using the Explained Variance

Task 7: Project Data Onto Lower-Dimensional Linear Subspace

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Principal component analysis using numpy

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