- Built a full-stack forecasting tool to explore the complete data science pipeline, from preprocessing to model deployment. The app supports CSV uploads, visualizes trends using <code>matplotlib</code>, fits a <code>scikit-learn</code> regression model, and summarizes the dataset using OpenAI’s GPT-3.5 API. The backend (Flask) is hosted on Azure App Service, while the frontend is deployed via GitHub Pages. Version 1 supports linear regression, with plans to add polynomial, ridge, and time series models.
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