Skip to content

Latest commit

 

History

History
22 lines (16 loc) · 2.38 KB

File metadata and controls

22 lines (16 loc) · 2.38 KB

Applied-Data-Science-Capstone-SpaceX

Introduction

SpaceX is a revolutionary company who has disrupt the space industry by offering a rocket launches specifically Falcon 9 as low as 62 million dollars; while other providers cost upward of 165 million dollar each. Most of this saving thanks to SpaceX astounding idea to reuse the first stage of the launch by re-land the rocket to be used on the next mission. Repeating this process will make the price down even further. As a data scientist of a startup rivaling SpaceX, the goal of this project is to create the machine learning pipeline to predict the landing outcome of the first stage in the future. This project is crucial in identifying the right price to bid against SpaceX for a rocket launch.

Table of Contents

  1. Data Collection with API
  2. Data Collection with Web Scraping
  3. Data Wrangling
  4. EDA with SQL
  5. EDA with Visulaization Lab
  6. Interactive Visual Analytics with Folium
  7. Dashboard Application (Code)
  8. Predictive Analysis - Machine Learning Lab
  9. Final Presentation (Slide)
© Copyright IBM Corporation 1994, 2022.
© Sukhman Singh 2023