Kaggle competition
Team: The North Stars 😃
- Introduction to Kaggle Competitions
- A Beginner’s Tutorial for the WiDS Datathon 2022 challenge
- CCAI Tutorial: Building Load Forecasting
- Building Regression Models: A Tutorial for the WiDS Datathon 2022 (MATLAB) with corresponding video
- Video: Getting Started with Kaggle
- ⭐ Video: Energy Consumption Prediction
- O. Lucon, D. Urge Vorsatz, et al. Buildings. In Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. 2014.
- Ürge-Vorsatz, Diana, et al. "Advances toward a net-zero global building sector." Annual Review of Environment and Resources 45 (2020): 227-269.
- Rolnick, David, et al. "Tackling climate change with machine learning." arXiv preprint arXiv:1906.05433 (2019).
- Milojevic-Dupont, Nikola, and Felix Creutzig. "Machine learning for geographically differentiated climate change mitigation in urban areas." Sustainable Cities and Society (2020): 102526.
- Kontokosta, Constantine E., and Christopher Tull. "A data-driven predictive model of city-scale energy use in buildings." Applied energy 197 (2017): 303-317.
- Kolter, J., and Joseph Ferreira. "A large-scale study on predicting and contextualizing building energy usage." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 25. No. 1. 2011. ⭐
- CS109a: Introduction to Data Science at Harvard University
- Data 8: The Foundations of Data Science at UC Berkeley
- Introduction to Data Science in Python at the University of Michigan