This project focuses on analyzing customer churn patterns using MySQL in the e-commerce domain to provide actionable insights for targeted retention strategies.
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Updated
Nov 12, 2024
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data-exploration-and-analysis
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A Streamlit interface that loads SQuAD v2 data directly from the Hugging Face API and lets users browse, filter, and explore answerable vs unanswerable question–context pairs in real time.
python data-visualization question-answering nlp-machine-learning nlp-datasets streamlit-dashboard huggingface-datasets interactive-dashboard huggingface-api data-exploration-and-analysis
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Updated
Jun 7, 2026 - Python
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