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Steffin12-git / Time-series-Superstore-Sales

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Time series forecasting on Superstore sales data using ARIMA and Holt–Winters models. Includes data preprocessing, decomposition, model comparison, and 12-month sales forecast. Holt–Winters (Multiplicative Trend) selected for best accuracy.

python arima statsmodels arima-model arima-forecasting exponentialsmoothingmodel sklearn-metrics simpleexpsmoothing adfuller seasonaldecompose
  • Updated Aug 16, 2025
  • Jupyter Notebook

Steffin12-git / Kmeans-online-retail

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Unsupervised customer segmentation on the UCI Online Retail II dataset using RFM features and KMeans. Includes full pipeline: data cleaning, feature engineering, outlier handling, model selection (Elbow & Silhouette), and actionable segment insights for targeted marketing.

python pandas seaborn arima statsmodels arima-model arima-forecasting exponentialsmoothingmodel matplotlib-pyplot holtwinters simpleexpsmoothing adfuller
  • Updated Aug 16, 2025
  • Jupyter Notebook

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