In this capstone, I predict the success of the Falcon 9 first stage landing. SpaceX's innovative approach allows them to reuse the first stage, resulting in significant cost savings. Falconize aims to determine if the first stage will land successfully, providing insights into launch costs. This information is invaluable for companies bidding against SpaceX for rocket launches.
- Develop Python code for data manipulation in a Pandas data frame.
- Create a Python Pandas data frame by converting a JSON file.
- Create a shareable Jupyter notebook using GitHub.
- Utilize data science methodologies to define and formulate real-world business problems.
- Use data analysis tools to load, clean, and discover insights from datasets.
This is an Applied Data Science Capstone project offered by IBM and is available on Coursera.
Falconize is licensed under the MIT License. Feel free to use the code, modify it, and incorporate it into your projects. I kindly ask that you give proper credit for this work by providing a link back to this GitHub repository. Thank you :)