https://github.com/willie-conway/spacex-falcon9-first-stage-landing-prediction
🚀 This repository contains the code for predicting the success of Falcon 9's first-stage landing. The project uses historical data 📊 to forecast landing outcomes 🌍, providing insights into the cost-effectiveness 💰 of SpaceX's reusable rockets 🔁.
https://github.com/willie-conway/spacex-falcon9-first-stage-landing-prediction
api-data-collection cost-prediction data-science falcon-9 machine-learning reusable-rockets rocket-launch-predictions spacex
Last synced: 4 months ago
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🚀 This repository contains the code for predicting the success of Falcon 9's first-stage landing. The project uses historical data 📊 to forecast landing outcomes 🌍, providing insights into the cost-effectiveness 💰 of SpaceX's reusable rockets 🔁.
- Host: GitHub
- URL: https://github.com/willie-conway/spacex-falcon9-first-stage-landing-prediction
- Owner: Willie-Conway
- Created: 2025-03-02T18:08:22.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-02T23:07:53.000Z (7 months ago)
- Last Synced: 2025-05-17T14:12:19.995Z (5 months ago)
- Topics: api-data-collection, cost-prediction, data-science, falcon-9, machine-learning, reusable-rockets, rocket-launch-predictions, spacex
- Language: Jupyter Notebook
- Homepage: https://www.spacex.com
- Size: 45 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🚀 IBM Data Science Capstone: SpaceX Falcon 9 First Stage Landing Prediction
## 📚 Project Overview
Welcome to the IBM Data Science Capstone project! In this project, we will predict the **success of Falcon 9's first-stage landing**. SpaceX has revolutionized the space industry with reusable rockets, saving millions of dollars on each launch. Each Falcon 9 launch costs around **$62 million**, a significant saving compared to the **$165 million** for competitors. The key to these savings is the **reusability of the first stage** of the rocket.
### 🎯 Objective
Our goal is to predict whether the Falcon 9 **first stage will land successfully** after launch. If we can predict this reliably, we can estimate the **cost of a SpaceX launch** and offer valuable insights for competing companies who may bid for a launch against SpaceX. 💸
## 🛠️ Data Collection & Preprocessing
### 📡 Data Source
The data comes from a public API that provides details about **Falcon 9 rocket launches**. We will collect and process this data to ensure it is in the correct format for our prediction model.
### 🔄 Data Cleaning & Transformation
- Extract relevant features for the model.
- Handle missing or inconsistent data.
- Ensure that the data is structured correctly for machine learning algorithms.
## 📈 Model Development
Using the cleaned data, we will develop a machine learning model that will predict whether the first stage of Falcon 9 lands successfully. The model will be trained using historical launch data, which includes information about launch conditions, rocket configurations, and success or failure of previous landings.
## 🧠 Key Insights
- If we can predict whether the first stage will land, we can better understand how **launch costs** are affected by reusability.
- SpaceX could further optimize its **launch plans** and predict its reusability rate more accurately.
- This model can serve as a **benchmark for competition**, helping other companies determine if they can match or beat SpaceX's costs and reusability.
## 🚀 Example of a Successful Launch
A successful launch example might look like this:
- **Launch Success**: ✅
- **Landing Success**: ✅
- **Launch Number**: #72
- **Rocket Type**: Falcon 9 Full Thrust
- **Rocket Status**: Landed
The goal is to use similar historical data points to train our model and predict future outcomes. 🌟
## 🚀 Why This Project is Important
This project is not only about making predictions, but it can potentially **shape the future of space exploration and commercial spaceflight**. With more companies entering the space race, having predictive capabilities about cost-effective launches is key to staying competitive. 🌍
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🎉 **Let's predict the future of spaceflight!** 🌠
Feel free to explore the code and join me in this amazing journey of predicting rocket landings! 🚀