Web Reference: Preprocessing is crucial for achieving better-quality analysis results. The Preprocess widget offers several preprocessing methods that can be combined in a single preprocessing pipeline. Preprocessing module contains data processing utilities like data discretization, continuization, imputation and transformation. Imputation replaces missing values with new values (or omits such features). There are several imputation methods one can use. Discretization replaces continuous features with the corresponding categorical features: In this video, we focus on data preprocessing in Orange software, an intuitive no-code platform for data mining and business intelligence.
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