Data-Driven Forecasting in Apparel Manufacturing

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This presentation explores the critical role of sample production in Sri Lanka's apparel industry, emphasizing the necessity for data-driven forecasting to enhance budgeting and resource planning. It details the objectives of predicting monthly sample quantities using a robust dataset, focusing on data preprocessing, exploratory analysis, and feature engineering. The methodology involves model selection, comparing Linear Regression and XGBoost through training and hyperparameter tuning. The...