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Objective: This Project aims to forecast the likelihood of succesfull landings of SpaceX's Falcon-9 first stage.

Key Achievements:

  • Achieved 76.9% success rate at the KSC LC-39A launch site, making it the most reliable site.
  • Implemented a Decision Tree model, which proved to be the best-performing classification algorithm, demonstrating the highest accuracy in predicting landing outcomes.
  • Conducted comprehensive Exploratory Data Analysis (EDA) and built interactive visualizations, improving insights into launch performance and payload relationships.
  • Automated data collection via SpaceX REST API and Wikipedia web scraping, covering over 150 Falcon-9 launches, reducing manual data gathering efforts by over 80%.