18. Vector Data Preprocessing & Normalization
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YouTubeAI Academy
18. Vector Data Preprocessing & Normalization
The quality of your vector data preprocessing can boost your model's accuracy by up to 40%. This complete guide covers 10 essential steps every data scientist should master: from L2 normalization and Standardization (StandardScaler, MinMaxScaler) to Dimensionality Reduction (PCA, UMAP) and secure Batch Processing. Learn why consistency is ...
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