https://github.com/dmarks84/coursework_capstone_spacex_predictions

Final Project for IBM Data Science Professional Certificate -- Applied all skills and methods utilized in the series of courses for this certification to predict the success of SpaceX landings; issued full report to stakeholders
https://github.com/dmarks84/coursework_capstone_spacex_predictions

api classification dash eda folium linear-algebra matplotlib mysql numpy pandas plotly probability python seaborn sql statistics supervised-ml technical-writing web-scraping

Last synced: 6 months ago
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Final Project for IBM Data Science Professional Certificate -- Applied all skills and methods utilized in the series of courses for this certification to predict the success of SpaceX landings; issued full report to stakeholders

• Host: GitHub
• URL: https://github.com/dmarks84/coursework_capstone_spacex_predictions
• Owner: dmarks84
• License: bsd-3-clause
• Created: 2024-01-17T17:06:04.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-17T23:27:59.000Z (over 1 year ago)
• Last Synced: 2025-02-15T10:32:11.195Z (8 months ago)
• Topics: api, classification, dash, eda, folium, linear-algebra, matplotlib, mysql, numpy, pandas, plotly, probability, python, seaborn, sql, statistics, supervised-ml, technical-writing, web-scraping
• Language: Jupyter Notebook
• Homepage:
• Size: 24 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
## Project(CapstoneProject_SpaceX_Predictions)

### Part of the Coursera series: IBM Data Science

    

## Summary

In this capstone, I predicted 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 determining if the first stage will land and the cost of launch can help to determine if an alternate company may want to bid against SpaceX for a rocket launch. In this lab, I completed several stesp:

- I collected data from an API and wrangled it into the right format

- I gathered additional supplemental data via webscraping

- I utilized a SQL database and Python/Juptyer Notebooks to perform EDA.

- I created a number of useful visualizations

- I employed Folium as a way to visualize launch sites and landmarks

- I created a dashboard with Dash and Plotly for stakeholder use

- I set up ML models to predict launch success and performed some feature engineering as well

- I created a written report summarizing our findings and recommendations.

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## Skills (Developed & Applied)

Programming, Python, RDBMS & SQL, SQL (MySQL), Databases, Statistics, Probability, Linear Algebra, Numpy, Pandas, Seaborn, Matplotlib, Plotly, Dash, Folium, BeautifulSoup, Scikit-learn, Dataframes, ETL &| ELT & Data Pipelines, Automation, Webscraping, APIs, Data Modeling, EDA, Data Visualization, Data Summarization, Data Reporting, Dashboards, Classification, Supervised ML, Communication, Technical Writing