Before AI Predicts Your Social Life, It Needs to Clean Its Data
SMRTR summary
Neptune ML's data processing stage for link prediction on Twitch data is complete. The process involved normalizing numerical features, encoding categorical features, creating node pairs for supervised learning, and splitting data into training, validation, and test sets, preparing the graph data for model training using the Deep Graph Library framework.
SMRTR provides this summary for quick context. The original article belongs to Hacker Noon.
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