Azal-10/Food-Prices-Forecasting-Cameroon

Time series forecasting of staple food prices in Cameroon using Python # Food-Prices-Forecasting-Cameroon Time series forecasting of staple food prices in Cameroon using Python # 📊 Forecasting Food Prices in Cameroon ## 🎯 Objectives Predict the price evolution of **palm oil**, **maize**, and **fuel** in 3 major cities (Douala, Yaoundé, Bamenda). ## 🛠️ Technology Stack - **Python 3.10 or higher** - **Libraries**: Pandas, Prophet, Scikit-learn, Plotly - **Data Sources**: INS Cameroon, BEAC ## 📂 Project Structure ``` . ├── data/ # Données │ ├── raw/ # Fichiers bruts │ └── processed/ # Données nettoyées ├── notebooks/ # Analyses exploratoires ├── src/ # Scripts Python ├── models/ # Modèles entraînés └── docs/ # Rapports et visualisations ``` ## 🚀 Quick Start ```bash git clone github.com pip install -r requirements.txt jupyter notebook notebooks/01_EDA.ipynb ```