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Name		Name	Last commit message	Last commit date
Data wrangling.ipynb		Data wrangling.ipynb
README.md		README.md
SpaceX.db		SpaceX.db
SpaceX_Machine_Learning_Prediction.ipynb		SpaceX_Machine_Learning_Prediction.ipynb
Spacex.csv		Spacex.csv
collectingTheData-webscraping.ipynb		collectingTheData-webscraping.ipynb
collectingTheData.ipynb		collectingTheData.ipynb
dataset_part_1.csv		dataset_part_1.csv
dataset_part_2.csv		dataset_part_2.csv
dataset_part_3.csv		dataset_part_3.csv
eda-dataviz.ipynb		eda-dataviz.ipynb
eda-sql.ipynb		eda-sql.ipynb
plotly_dashboard.py		plotly_dashboard.py
project_presentation.pdf		project_presentation.pdf
project_presentation.pptx		project_presentation.pptx
site_location.ipynb		site_location.ipynb
spacex_launch_geo (1).csv		spacex_launch_geo (1).csv
spacex_launch_geo (2).csv		spacex_launch_geo (2).csv
spacex_launch_geo.csv		spacex_launch_geo.csv
spacex_web_scraped.csv		spacex_web_scraped.csv

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New Rocket Company Project

Description:

Worked on a new rocket company named "SpaceY" that would like to compete with SpaceX founded by Billionaire industrialist Allon Musk. Space X 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 Space X can reuse the first stage. Therefore if we can determine if the first stage will land, we can determine the cost of a launch. to compete with SpaceX we need to understand these informations.

Project Steps:

Collected the rocket launch data from the SpaceX API --> NoteBook
Web-scraped the SpaceX table in the wikipedia page to collect Falcon 9 historical launch records --> NoteBook
Performed some Exploratory Data Analysis (EDA) to find some patterns in the data and determine what would be the label for training supervised models --> NoteBook
Built an Interactive map with folium to find some geographical patterns about launch sites. --> NoteBook
Built an Interactive dashboard using plotly dash --> Code
Implemented the machine learning classification model to predict if a rocket will land successfuly or not using logistic regression, KNN, desision tree and support vector machine. --> NoteBook

About

IBM Applied Data Science Capstone

Topics

coursera data-analysis data-science data-visualization ibm machine-learning plotly-dash presentation sql supervised-learning webscraping

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