Predictive modeling, supervised machine learning, and pattern classification
Read OriginalThis article provides a foundational overview of predictive modeling, focusing on supervised machine learning for pattern classification. It explains key concepts like regression vs. classification, the typical workflow from data collection to model evaluation, and introduces supervised, unsupervised, and reinforcement learning paradigms as a primer for future technical implementations.
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