Explore, Track, Predict the ISS in Realtime With Python
Explore, Track, Predict the ISS in Realtime With Python, available at Free, has an average rating of 4.8, with 6 lectures, based on 100 reviews, and has 12121 subscribers.
You will learn about 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 This course is ideal for individuals who are The curious and the space lovers – all are welcome! It is particularly useful for The curious and the space lovers – all are welcome!.
Enroll now: Explore, Track, Predict the ISS in Realtime With Python
Summary
Title: Explore, Track, Predict the ISS in Realtime With Python
Price: Free
Average Rating: 4.8
Number of Lectures: 6
Number of Published Lectures: 6
Number of Curriculum Items: 6
Number of Published Curriculum Objects: 6
Original Price: Free
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- The curious and the space lovers – all are welcome!
Target Audiences
- The curious and the space lovers – all are welcome!
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!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Let's Explore Real Time ISS Data
Lecture 3: Tracking, Collecting, and Mapping the ISS Journey Through Time
Lecture 4: Predicting Where the ISS is Going with Linear and Polynomial Regressions
Lecture 5: Flask Primer
Lecture 6: Creating a Web Application and Porting it to the Cloud
Instructors
-
Manuel Amunategui
Data Scientist & Quantitative Developer
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 2 votes
- 3 stars: 13 votes
- 4 stars: 35 votes
- 5 stars: 48 votes
Frequently Asked Questions
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