Skip to content

Predicting Rocket Launch Success with Machine Learning (including Data collection, Web scraping, EDA with SQL, Visualization, Folium Map, Dashboard)

Notifications You must be signed in to change notification settings

shanxiaow/SpaceX-Rocket-Launch

Repository files navigation

Predicting the Outcome of SpaceX Launches

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.

Project Contents:

  • 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

About

Predicting Rocket Launch Success with Machine Learning (including Data collection, Web scraping, EDA with SQL, Visualization, Folium Map, Dashboard)

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published