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📊Dimensionality reduction in PCA (Principal Component Analysis) means reducing the number of variables (features) in your dataset while keeping as much important information
DATAsense pro. DATAsense pro · Original audio. 📊Dimensionality reduction in PCA (Principal Component Analysis) means reducing the number of variables (features) in your dataset while keeping as much important information (variance) as possible.📊 🌿 1. What does "dimensionality" mean? In data, each variable or feature is a dimension ...
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