Generative AI in Data Science: Applications in Automated Data Cleaning and Preprocessing for Machine Learning Models
Keywords:
Generative AI, data preprocessing, machine learning modelsAbstract
ML model performance depends on training data. Slow data prep hurts models. This research analyzes how Generative AI can automate these crucial procedures to increase data preparation workflow efficiency and accuracy. Generative AI uses advanced machine learning to find, fix, and infer dataset issues for data cleaning and preparation.
GANs and VAEs give realistic and representative data to solve data sparsity and imbalance. Artificial data that matches dataset statistics may train machine learning systems. Generative AI can discover outliers, noise, and missing statistics without human intervention by learning data patterns and distributions.
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