This repository is part of the IBM/Coursera capstone project. A requirement is to link each of the three deliverablse (Jupyter Notebook, Report, Presentation) to the submission from your own GitHub account. Students must to 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.
- Jupyter Notebook
- Python 3
- Python Libraries: Pandas, Numpy, Matplotlib, Seaborn, Folium, Sklearn, Requests
- Instructions to install Jupyter Notebook: https://jupyter.org/install
- From inside Jupyter Notebooks, one can install libraries through !pip install
Enrique Kishimoto, IBM Maximo Consultant, SMC, Project Manager and future Data Scientist
- Coursera Info - https://www.coursera.org/professional-certificates/ibm-data-science
- My Certificate - https://coursera.org/share/18fa9be2a65afeed04127057134f83d0
- LinkedIn - https://www.linkedin.com/in/ekishimoto/
