Overview
This project was realized with Kieran Vaudaux, for the course 'Statistical Computation and Visualization' taught by M. Golham at EPFL. It consisted in performing a rigorous statistical analysis of meteorological data in Switzerland, and implementing a time-series forecasting model designed to make meteorological predictions. An emphasis was put on data visualization. The project came in wrapped up as a Streamlit web application.
Approach
Data comes from the European Climate Assessment and Dataset Center. We used various statistical analysis frameworks, including scipy, statsmodels and scikit-learn. Visualisation was made with matplotlib and Plotly. The whole project came in as a wrapped up Streamlit application, containing both the final report and a multi-pages dashPortfolio.