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Hands-On Data Preprocessing is a primer on the best data cleaning and preprocessing techniques, written by an expert who’s developed college-level courses on data preprocessing and related subjects.
How to handle missing data? We can either eliminate the rows and columns with missing data, if there are a very high percentage of missing data. Alternatively, we can impute the values of missing ...
Abstract: Data preprocessing is a crucial phase in the data science and machine learning pipeline, often demanding significant time and expertise. This step is vital for enhancing data quality by ...
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