This GitHub repository serves as a comprehensive resource for our CO2 emission prediction project. Here, you will find the following:
Code: Our machine learning models and data preprocessing scripts are available in the src directory. You can explore how we trained and evaluated the models.
Dataset: In the data directory, you can access the datasets we used for training and testing. We believe in transparency and reproducibility, so we've provided the sources and preprocessing details.
Documentation: For a deeper understanding of our approach and methodology, please refer to the docs folder. You'll find detailed explanations of the models, algorithms, and evaluation metrics we used.
Our primary objectives for this project are as follows:
Accurate Predictions: We aim to develop machine learning models that can predict CO2 emissions with a high degree of accuracy. Transparency: We believe in transparency in our research. All code and data sources are clearly documented to encourage reproducibility.