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• Principal Component Analysis: Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensionality of a dataset while retaining as much of the original variation as possible. It works by identifying the directions of maximum variance in the da ... Read More >>
• Data Security: Data Security refers to the protection of digital data from unauthorized access, theft, corruption, or damage. It involves implementing various measures such as encryption, access controls, firewalls, and backups to ensure the confidentiali ... Read More >>
• Undersampling: Undersampling is a technique used in data science to balance imbalanced datasets. It involves reducing the number of instances in the majority class to match the number of instances in the minority class. This is done by randomly selecting ... Read More >>