hd77alu/linear_regression_model

This project uses historical country-level CO2 emissions and socioeconomic indicators from 2000 to 2020 to create a model that predicts total CO2 emissions excluding LUCF in East Africa. # linear Regression Model to Predict CO2 Emissions in East Africa ## Description of Mission and Problem - My mission focuses on Climate Change and how to use technologies to address environmental challenges in Africa. - The problem addressed here is the prediction of CO2 emissions trends to support improved climate-mitigation planning. - The goal is to contribute practical, data-driven tools that support Africa's efforts in effective climate adaptation. ## Dataset Information This project uses historical country-level CO2 emissions and socioeconomic indicators from 2000 to 2020 to create a model that predicts total CO2 emissions excluding LUCF in East Africa. **Dataset:** `africa-co2-emissions.csv` ### Dataset Characteristics: - **Rows:** 1,134 - **Columns:** 20 total (3 non-numeric, 17 numeric) - **Source:** African countries CO2 emissions data ## Project Structure ```text ├── summative/ │ ├── API/ │ │ ├── app.py │ │ ├── prediction.py │ │ ├── requirements.txt │ ├── FlutterApp/ │ │ ├── east_africa_co2_prediction_mobile_app │ └── linear_regression/ │ ├── multivariate.ipynb │ ├── data/ │ │ └── africa-co2-emissions.csv │ └── final_model/ │ ├── best_linear_regression_model.joblib │ └── fastapi_model_artifacts.joblib └── README.md ``` ## Setup Instructions 1. Clone or Download the Repository ```bash git clone github.com cd linear_regression_model ``` 2. Create and activate a Python virtual environment. 3. Install notebook dependencies: - `pip install numpy pandas scikit-learn matplotlib joblib jupyter` ## How to Use the Notebook ### Method 1: Using Jupyter Notebook (Local) ```bash # Navigate to project directory cd linear_regression_model # Launch Jupyter Notebook jupyter notebook # Open the file: multivariate.ipynb ``` ### Method 2: Using Google Colab 1. Click the "Open in Colab" badge at the top of the notebook 2. Upload `africa-co2-emissions.csv` t …