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PMGOnTheCloud/IBM-Coursera-DS-Capstone

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About The Project

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

Done with

Python JupyterNotebook IBMDb2 Folium Pandas Seaborn Plotly ScikitLearn Numpy Matplotlib Dash

Tree of the Project

├── 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

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