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Drug Demand Forecasting Models

This repository contains trained machine learning, deep learning, and meta-learning models used for predicting drug demand in medical inventory systems.

Models Included

  • Linear Regression
  • Random Forest
  • XGBoost
  • BiLSTM (Deep Learning)
  • GRU (Deep Learning)
  • NeuroStack Meta-Learner (Ensemble)

Additional Components

  • Feature scalers for input and output normalization

Purpose

These models are used to forecast next-month demand and support inventory decision-making.

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