The article discusses the process of deploying a machine learning model for the first time. It starts with an introduction to the Kaggle competition and the wine quality dataset. The author then performs exploratory data analysis and preprocessing on the dataset, including feature engineering, transforming distributions,

12m read timeFrom ai.plainenglish.io
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How I Deployed a Machine Learning Model for the First TimeIntroductionPlayground Series Episode 5 Season 3: Ordinal Regression with a Tabular Wine Quality DatasetExploratory Data AnalysisPreprocessingModelingBuilding a Streamlit app on Hugging FaceConclusionPlainEnglish.io 🚀
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