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.
