https://github.com/aravindnathan02/data-science-capstone

IBM Data Science Certificate capstone project on Coursera.
https://github.com/aravindnathan02/data-science-capstone

data-analysis data-science data-visualization machine-learning predictive-modeling python sql

Last synced: about 1 month ago
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IBM Data Science Certificate capstone project on Coursera.

• Host: GitHub
• URL: https://github.com/aravindnathan02/data-science-capstone
• Owner: aravindnathan02
• Created: 2024-06-26T12:29:10.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-01-20T06:30:35.000Z (over 1 year ago)
• Last Synced: 2025-02-03T11:16:01.839Z (over 1 year ago)
• Topics: data-analysis, data-science, data-visualization, machine-learning, predictive-modeling, python, sql
• Language: Jupyter Notebook
• Homepage:
• Size: 530 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Machine Learning for Space mission Success

> This is a capstone project done as a part of IBM Data Science Professional certification.

### Situation

> Space launch outcomes needed better predictive analysis \

> Complex data scattered across multiple sources \

> Time-consuming pre-launch analysis process \

> Need for pattern recognition across launch sites

### Task

> Collect and analyze data from 100 Falcon 9 launches \

> Develop predictive models for launch success \

> Create interactive visualizations \

> Reduce pre-launch analysis time

### Action

> Built data pipeline using BeautifulSoup4 and RESTful APIs \

> Implemented multiple ML models (SVM, Decision Tree, Logistic Regression, KNN) \

> Created interactive Plotly dashboard \

> Performed hyperparameter tuning \

> Integrated data from global launch sites

### Result

> Achieved 83% accuracy in predicting mission success \

> Reduced pre-launch analysis time by 40% \

> Created comprehensive visualization dashboard \

> Enabled pattern recognition across launch sites \

> Improved decision-making for launch planning