Introduction

In this project, SpaceX Falcon 9 launch dataset is used to pridict the successfull rate of its First Stage being landed.

Overview

SpaceX REST API is a public API in which allow us access data about launch specifications, rocket used, payload delivered, and landing outcome.

https://api.spacexdata.com/v4/

We convert the JSON to datafame by using json_normalize function. This makes data as a table

data = pd.json_normalize(response.json())

Use Pysone Beautiful Soup package to web scrape HTML tables that contain FAlcon 9 launch records.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
data		data
docs		docs
.gitignore		.gitignore
01_Data-Collection.ipynb		01_Data-Collection.ipynb
01_Webscraping.ipynb		01_Webscraping.ipynb
02_EDA-dataviz.ipynb		02_EDA-dataviz.ipynb
02_Exploratory-Data-Analysis.ipynb		02_Exploratory-Data-Analysis.ipynb
03_Interactive-Visual-Analytics-and-Dashboards.ipynb		03_Interactive-Visual-Analytics-and-Dashboards.ipynb
04_Machine-Learning-Prediction-Part-5-v1.ipynb		04_Machine-Learning-Prediction-Part-5-v1.ipynb
README.md		README.md
my_data1.db		my_data1.db
requirements.txt		requirements.txt
spacex_dash_app.py		spacex_dash_app.py