Skip to content
#

space-exploration

Here are 50 public repositories matching this topic...

The Falcon 9 Landing Success Prediction project predicts Falcon 9 first-stage landings using machine learning models like Logistic Regression, Random Forest, Gradient Boosting, and Neural Networks. Key features include payload mass, orbit type, and booster reuse. Data is balanced with SMOTE for better accuracy.

  • Updated Sep 16, 2024
  • Jupyter Notebook

🚀Welcome to the H.A.R.E. Mars Rover project, where we've unleashed the power of Haskell monads to chart precise paths across the Martian landscape 🗺️, while our disk rotation wizardry ensures data integrity even in the harshest conditions. From chunking files for floppy disk storage to dynamic track allocation, we're redefining space exploration.

  • Updated Sep 1, 2023
  • Haskell

Improve this page

Add a description, image, and links to the space-exploration topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the space-exploration topic, visit your repo's landing page and select "manage topics."

Learn more