IBM Data Science capstone project applying classification models to predict SpaceX Falcon 9 first-stage landing success.
This project is organized as a portfolio case study to show the full analysis workflow: understanding the business problem, preparing the data, exploring patterns, building the final output, and communicating insights clearly.
- Which features influence Falcon 9 landing success?
- How can classification models support launch outcome prediction?
- What insights can be communicated from the full capstone workflow?
- Python
- Jupyter Notebook
- Machine learning
- Classification modeling
- Data science workflow
Capstone project/IBM-Data-Science-Capstone-Project.pptxREADME.md
Open the capstone project folder and review the included notebooks and presentation.
The repository presents a complete capstone deliverable with analysis and presentation materials.
Created by Michael Kenechukwu as part of a data analytics, business intelligence, and machine learning portfolio.