This content discusses the importance of data encoding for machine learning and deep learning tasks. It provides an overview of various techniques such as ordinal encoding, one-hot encoding, and word embedding. Additionally, it explains methods to implement these techniques with Python libraries and provides references for further reading. The article was originally published on Towards AI and authored by Shivam Shinde.
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