Data Preprocessing: Revision history

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19 June 2024

  • curprev 02:3502:35, 19 June 2024‎ Wikinimda@home talk contribs‎ 3,895 bytes +3,895‎ Created page with "Data preprocessing is a crucial step in the machine learning and artificial intelligence (AI) pipeline, involving the transformation and cleaning of raw data before it is used to train models. Effective data preprocessing enhances the quality of the data, which in turn can improve the performance and accuracy of AI models. Here are the key components and steps involved in data preprocessing: # '''Data Cleaning''': #* '''Handling Missing Values''': Addressing missing dat..." Tag: Visual edit
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