yu-nakashima0/Predict-CO2-Emissions-in-Rwanda

Regression Project ## 🗺️ Predicting CO₂ Emissions: Accurately tracking carbon emissions is a vital foundation for addressing climate change. This project aims to build machine learning models that use open-source CO₂ emission data collected by the Sentinel-5P satellite to forecast future carbon output. ## 📚 used Python libraries: - pandas - matplotlib - scikit-learn - scipy - streamlit - plotly - PyTorch - Keras - TensorFlow - keras_tuner - optuna ## ✨ features of original dataset: -**basic information:** - ID_LAT_LON_YEAR_WEEK - latitude - longitude - year - week_no -**SulphurDioxide:** - SulphurDioxide_SO2_column_number_density - SulphurDioxide_SO2_column_number_density_amf - SulphurDioxide_SO2_slant_column_number_density - SulphurDioxide_cloud_fraction - SulphurDioxide_sensor_azimuth_angle - SulphurDioxide_sensor_zenith_angle - SulphurDioxide_solar_azimuth_angle - SulphurDioxide_solar_zenith_angle - SulphurDioxide_SO2_column_number_density_15km -**CarbonMonoxide:** - CarbonMonoxide_CO_column_number_density - CarbonMonoxide_H2O_column_number_density - CarbonMonoxide_cloud_height - CarbonMonoxide_sensor_altitude - CarbonMonoxide_sensor_azimuth_angle - CarbonMonoxide_sensor_zenith_angle - CarbonMonoxide_solar_azimuth_angle - CarbonMonoxide_solar_zenith_angle -**NitrogenDioxide:** - NitrogenDioxide_NO2_column_number_density - NitrogenDioxide_tropospheric_NO2_column_number_density - NitrogenDioxide_stratospheric_NO2_column_number_density - NitrogenDioxide_NO2_slant_column_number_density - NitrogenDioxide_tropopause_pressure - NitrogenDioxide_absorbing_aerosol_index - NitrogenDioxide_cloud_fraction - NitrogenDioxide_sensor_altitude - NitrogenDioxide_sensor_azimuth_angle - NitrogenDioxide_sensor_zenith_angle - NitrogenDioxide_solar_azimuth_angle - NitrogenDioxide_solar_zenith_angle -**Formaldehyde:** - Formaldehyde_tropospheric_HCHO_column_number_density - Formaldehyde_tropospheric_HCHO_column_number_density_amf - Formaldehyde_HCHO_slant_column_number_density - Formaldehyde_cl …