Time Series Model
Time Series Forecasting
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I want to predict [VARIABLE] over [TIME_HORIZON] using historical data from [PERIOD]. The observed patterns are: [SEASONALITY_TREND_ETC]. Compare ARIMA, Prophet, and LSTM for this case. Propose Python code for each approach, evaluation metrics (RMSE, MAPE, etc.), and the backtesting strategy.
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