SpaceX Falcon 9 Landing Prediction
Predicted SpaceX Falcon 9 rocket landing success based on various flight parameters using machine learning algorithms.
Client
IBM Data Science Capstone
Year
2024
My Role
- • Data Collection & Cleaning
- • Exploratory Data Analysis
- • Feature Engineering
Services
About
SpaceX advertises Falcon 9 rocket launches at $62 million while competitors charge upwards of $165 million. The cost savings are largely due to reusable first stages. Predicting landing success is crucial for determining launch costs and competitiveness. This project analyzes historical launch data to predict whether SpaceX will attempt to land the first stage.
Our Client
Developed a predictive model to determine the likelihood of successful SpaceX Falcon 9 first stage landings. This capstone project from the IBM Data Science Professional Certificate involved data collection, exploratory analysis, feature engineering, and model training to optimize launch cost predictions.
What I Did
Challenges
- •Collecting and cleaning SpaceX launch data from multiple sources
- •Handling imbalanced dataset (more successful than failed landings)
- •Selecting optimal features for prediction accuracy
Solutions
- Used web scraping and API calls to gather comprehensive data
- Applied SMOTE and class weighting to handle imbalanced classes
- Conducted thorough feature importance analysis and selection
Technologies & Tools
Results
Measurable impact and key achievements from this project
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Gallery
Visual showcase of the project
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