https://github.com/faiber09/data-science-capstone-project
In this capstone project, I assume the role of a data scientist working for a new rocket company. My task is to determine the price of each launch and to present the results clearly to the stakeholders.
https://github.com/faiber09/data-science-capstone-project
capstone-project data-science
Last synced: over 1 year ago
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In this capstone project, I assume the role of a data scientist working for a new rocket company. My task is to determine the price of each launch and to present the results clearly to the stakeholders.
- Host: GitHub
- URL: https://github.com/faiber09/data-science-capstone-project
- Owner: Faiber09
- Created: 2024-03-21T08:33:46.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-23T03:57:33.000Z (almost 2 years ago)
- Last Synced: 2025-01-23T13:14:49.119Z (over 1 year ago)
- Topics: capstone-project, data-science
- Language: Jupyter Notebook
- Homepage: https://coursera-assessments.s3.amazonaws.com/assessments/1717127702114/7f74fe7f-7788-4bff-bfc0-071183adcd1e/Final%20assignment.pdf
- Size: 3.82 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Applied Data Science Capstone
## Project scenario
In this capstone project, I acted as a data scientist for a fictional aerospace company called Space Y, a competitor of SpaceX. My task was to determine the price of space launches by collecting public data using Web Scraping and SQL, and creating dashboards for my team. Additionally, I developed machine learning models to predict whether SpaceX would reuse the first stage of their rockets, comparing the accuracy and effectiveness of various algorithms. This project allowed me to apply advanced data science and machine learning techniques in a real-world context and prepare reports for stakeholders.
## Tools used
SQL, Python, Sklearn, Folium Lab, Plotly, GitHub, Powerpoint
## Final Presentation URL
https://coursera-assessments.s3.amazonaws.com/assessments/1717127702114/7f74fe7f-7788-4bff-bfc0-071183adcd1e/Final%20assignment.pdf
## Extra
Inside this folder, you will find several Jupyter notebook files from the final assignments of various topics studied during the certification program. While they are not part of the project itself, these assignments were crucial for understanding various technical aspects needed to carry out the project, including:
1. **SQL with Python.ipynb**
Contains code and examples for integrating SQL queries with Python, demonstrating how to perform data manipulation and analysis using SQL within a Python environment.
2. **Statistics with Python.ipynb**
Provides an overview of statistical analysis techniques implemented in Python, covering descriptive statistics, inferential statistics, and various statistical tests.
3. **Machine Learning Cuisine Tree Classifier.ipynb**
Includes a machine learning project using a decision tree classifier to categorize different types of cuisine based on various features.
4. **Machine Learning Rain Prediction.ipynb**
Features a machine learning model aimed at predicting rainfall, utilizing historical weather data to forecast future precipitation levels.