Falcon9 soft landing simulation based on Simulink and FlightGear

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A software pipeline to decode the Falcon 9 telemetry from the 6MS/s baseband file.

Rock It! is an Android app that helps you stay informed on all things space

Explore a sophisticated Python repository demonstrating rocket takeoff simulations. Leverage realistic physics like thrust, drag, and gravity, while embracing parallel processing and OpenGL visualization. Witness intricate calculations simulating rocket trajectories, combining education and technology seamlessly.

End-to-end SpaceX Falcon 9 machine learning predictive analysis project with API-driven data pipeline and interactive Streamlit dashboard.

SpaceX Falcon 9 reusable rocket first stage landing success rate predictability

SpaceX Falcon 9 first stage Landing Prediction

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SpaceX falcon9 launching cost data analysis

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Case study. Using web scraping and SpaceX API we collect information about Falcon 9 launches in order to determine the keys to recover the rocket's first stage successfully.

Data Science capstone project completed as part of the IBM Data Science Professional Certificate.

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Applied Data Science Capstone Project

Generar automáticamente una infografía con los lanzamientos del falcon9 en orden cronológico mediante web scraping

This project is part of the IBM Data Science Professional Certificate course. It aims to identify the best classifier to predict whether the first stage of a Falcon9 rocket will land successfully, helping SpaceX minimize costs.

In this capstone, we will predict if the Falcon 9 first stage will land successfully. SpaceX advertises Falcon 9 rocket launches on its website with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if we can determine if the first stage will land, we can determine the cost of a launch. This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. In this lab, you will collect and make sure the data is in the correct format from an API. The following is an example of a successful and launch.

🏗 falcon9

We try to build a machine learning model to predict Falcon 9 first stage land successfully or not.

Notebooks regarding Falcon9 Landing Success

OpenAI Gym implementation of 2D Falcon 9 landing, plus agent training experiments.

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By Al-Mohammady

Predicting successful landing of SpaceX Falcon9

IBM CAPSTONE PROJECT: spacex-falcon9-landing-prediction

Naive attempt to land Falcon9 using Node.JS

SpaceX Falcon 9 rocket launches - This project predicted if the first stage will land or not. This classification project was resulting Decision Tree as the best classifier algorithm. #supervisedlearning #classification #spaceX #predictlaunch #decisiontreeclassifier