Winning Space Race with Data Science - Falcon X Project

IBM Data Science Professional Certificate Capstone Project

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.

Prerequisites

Jupyter Notebook
Python 3
Python Libraries: Pandas, Numpy, Matplotlib, Seaborn, Folium, Sklearn, Requests

Installing

Instructions to install Jupyter Notebook: https://jupyter.org/install
From inside Jupyter Notebooks, one can install libraries through !pip install

Authors

Enrique Kishimoto, IBM Maximo Consultant, SMC, Project Manager and future Data Scientist

Social Media

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/