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Data Encoding and Decoding Techniques by Hanumanthu Gouthami is a document available to read on EtoBox.
Data encoding and decoding are critical techniques in data science that facilitate the conversion of data for transmission, storage, and analysis. Various encoding methods such as one-hot, label, binary, and hash encoding are employed to handle categorical variables, while decoding techniques like data parsing, transformation, and visualization help interpret and present the data effectively. These processes are essential for preparing data for analysis, feature engineering, data compression, and ensuring d
- Author
- Hanumanthu Gouthami
- Language
- EN