forecasting principles and practice rob j hyndman
Cora Crooks
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ing: 1. Understand the Data Exploratory Data Analysis (EDA): Prior to modeling, analyze data for patterns, trends, seasonality, and anomalies. Data Quality: Ensure data accuracy, consistency, and completeness to avoid misleading forecasts. 2. Choose the Appropriate Model Select models ba