Johnnyfaze/Nigeria-Population-Forecasting-With-Prophet

# Nigeria Population Forecasting with Prophet This project uses time series forecasting to predict Nigeria's population from historical data up to the year 2050 using the Prophet library. ## Project Structure - `Population.csv`: Historical population data for Nigeria. - `population_forecast.ipynb`: Jupyter notebook containing all analysis, modeling, and visualization steps. - `README.md`: Project overview and instructions. ## Workflow 1. **Data Loading**: Import population data from `Population.csv`. 2. **Preprocessing**: Convert year column to datetime and prepare data for Prophet. 3. **Modeling**: Fit a Prophet model to the data. 4. **Forecasting**: Predict future population values up to 2050. 5. **Visualization**: Plot historical and forecasted population, including uncertainty intervals. 6. **Results Table**: Display estimated population and confidence range for each year from 2025 to 2050. ## How to Run 1. Open `population_forecast.ipynb` in Jupyter Notebook or VS Code. 2. Run each cell sequentially to reproduce the analysis and results. 3. The final cells display a table of population estimates and ranges for 2025–2050. ## Requirements - Python 3.7+ - pandas - matplotlib - seaborn - prophet Install dependencies with: ```bash pip install pandas matplotlib seaborn prophet ``` ## Output Interpretation - **Forecast Chart**: Shows historical data, forecast, and uncertainty intervals. - **Results Table**: For each year, provides the best estimate and a range (lower and upper bounds) for Nigeria's population. ## License This project is for educational and research purposes.