How to make image compression in Python | Principal Component Analysis | ML
Principal component Analysis is used for dimensionality reduction of large dataset, using which image compression is performed and compare the resultant picture with original picture.
When working on an Artificial Intelligence - Machine Learning project with multiple images, performance of system is slowed due to lots of pixels in images. To overcome this situation, we have to consider image compression.
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