This project contains a series of Jupyter Notebooks that go through different stages of working with the data offered by SpaceX:
- Collecting the Data
- Wrangling the Data
- Creating graphs and plots
- Making dashboards and extracting insights from them
- Developing Machine Learning models to predict future outcomes
├── 10_Applied_Data_Science_Capstone (CONTAINS THE NOTEBOOKS AND THE DASH APP)
│ ├── 01_Data_Collection_API.ipynb
│ ├── 02_Data_Collection_with_Web_Scraping.ipynb
│ ├── 03_EDA.ipynb
│ ├── 04_EDA_with_SQL.ipynb
│ ├── 05_EDA_with_Data_Visualization.ipynb
│ ├── 06_Interactive_Visual_Analytics_with_Folium.ipynb
│ ├── 07_Machine_Learning_Prediction.ipynb
│ └── 08_Interactive_Dashboard_with_Ploty_Dash.py
├── assets
│ ├── data (CONTAINS ALL THE DATA THAT IS USED IN CASE THE API DOESNT WORK)
│ └── images (CONTAINS THE IMAGES USED IN THE REPO)
├── DS-Capstone-Report.pdf
├── LICENSE
└── README.md