Explore, Track, Predict the ISS in Realtime With Python

Name: Explore, Track, Predict the ISS in Realtime With Python
Rating: 4.6 (104 reviews)

Where is the International Space Station, Who's On It? Let's Build a Web App to Find out with Python and Data Science

Created byManuel Amunategui

Last updated 5/2020

English

What you'll learn

How to track the International Space Station using Rest APIs
How to forecast using univariate data
How to run a linear and polynomial regression in Python

Course content

1 section • 6 lectures • 1h 12m total length

Introduction4:39
Here is a link to the source code in case the resource button isn't working:

https://www.viralml.com/video-content.html?v=7c3nk69xsJw
Let's Explore Real Time ISS Data12:20
Tracking, Collecting, and Mapping the ISS Journey Through Time13:40
Predicting Where the ISS is Going with Linear and Polynomial Regressions10:39
Flask Primer16:55
Creating a Web Application and Porting it to the Cloud14:25

Requirements

Student should know the basics of Python, installing and loading libraries and running a Jupyter notebook

Description

Join me as we explore space, the ISS, Python and some of the basics of data science. I will show how to locate the International Space Station in realtime using Python and a rest API call and how to build a web app to share it with the world. I will also show you:

- How to get the names of astronauts currently on board

- Get the realtime location of the ISS

- Plot the ISS on a world map

-Track and collect the ISS position for historic analysis

- Model ISS location data using both linear and polynomial regressions

- Create a real mobile Web Application on the cloud so you can use your phone to share the location of the ISS to all your friends

- Add a link to the official ISS live feed

So astronauts, young and old, very young and very old, climb on board, and let's have some fun!

Who this course is for:

The curious and the space lovers - all are welcome!