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Application of the ETS model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahwalnagar District, Punjab, Pakistan.
This project aims to predict gold prices using various time series forecasting techniques. The dataset consists of monthly gold futures data over the last ten years. The primary methods used in this analysis include ARIMA, Error Trend Seasonal (ETS) models, and Exponential Smoothing techniques. The forecast horizon is set for the next two years.