This research project aims to predict if the Falcon 9 first stage will land successfully.
SpaceX's Falcon 9 rocket launches are advertised to save cost by 60% if SpaceX can reuse the first stage. Determining the outcome of the first stage lauch will therefore be important for evaluating costs.
- Collect data using SpaceX REST API and web scraping
- Wrangle data to prepare for analysis
- Explore data with data visualization as well as SQL
- Build interactive map with Folium to explore features of launch sites
- Build interactive dashboard to explore the importance of launch site and payload mass for mission outcome
- Build and evaluate four machine learning classification models to predict landing outcome