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Time Series Forecasting - Framework
time-series data analysis techniques
Full Prompt
Build a time series forecasting pipeline: data preprocessing with seasonal decomposition, feature engineering (lag features, rolling statistics, calendar features), model comparison (ARIMA, Prophet, LSTM, XGBoost), cross-validation with time series split, hyperparameter tuning, ensemble methods, and production deployment with retraining schedule
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✨GPT-4o✨Claude 3.5 Sonnet✨Gemini Pro
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