Repository of data, code, notebooks, and presentation for the IBM Data Science Capstone Project.
In this project we were required to collect (via API and webscraping), wrangle, explore, and model Falcon 9 launch data in order to build a prediction for the success of first stage landing.
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├── Data_Wrangling_Webscraping <- Jupyter notebooks summarising the data acquisition process of the project
│ ├── Capstone_Data_Collection_API.ipynb
│ ├── Capstone_Webscraping.ipynb
│ └── Capstone_Data_Wrangling.ipynb
│
├── Exploratory_Data_Analysis <- Jupyter notebooks summarising data analysis with Pandas/Seaborn, SQL, and Folium
│ ├── Capstone_EDA_with_SQL.ipynb
│ ├── Capstone_EDA_with_Visualisation.ipynb
│ └── Capstone_Folium.ipynb
│
├── Dashboarding <- Python script containing Plotly dashboarding app
│ └── Capstone_Plotly_Dash_App.py
│
├── Predictive_Analysis <- Jupyter notebook containing results comparing Machine Learning models recovery of launch success/failure
│ └── Capstone_Predictive_Analysis.ipynb
│
├── Final_Presentation <- PDF containing the final presentation slides for the capstone project
│ └── Capstone_Presentation.pdf
│
├── Data <- Data files used in the project
│ └── Spacex.csv
│
├── .gitignore <- Avoids uploading data, credentials, outputs, system files etc
├── LICENCE <- License file (GPL v3.0 for this repository)
└── README.md <- This file