YoVDO

Explore space with Python and Visual Studio Code; inspired by Netflix's Over the Moon

Offered By: Microsoft via Microsoft Learn

Tags

Python Courses Data Science Courses Machine Learning Courses pandas Courses Visual Studio Code Courses Image Recognition Courses Space Exploration Courses Data Exploration Courses Data Cleansing Courses

Course Description

Overview

  • Module 1: Like Fei Fei, use data to plan your own mission to the Moon. Ensure that your rocket can not only get you there, but also bring you and all your Moon rocks safely back to Earth.

    • In this module, you will:

    • Create a clear representation of data from many sources.
    • Use Python and pandas to explore data.
    • Use data cleansing techniques to get a clear representation of data.
    • Hypothesize how much rock sample astronauts might bring back on the Artemis missions.

    Tip

    This module is part of a multimodal learning experience. Start the module to see how you can follow along!

  • Module 2: Learn how to use concepts from machine learning to predict the occurrence of meteor showers (or Moon Goddess tears).

    • In this module, you'll learn:

    • The basics of meteor showers: what they are and why we see them.
    • How to choose and collect appropriate data.
    • Strategies to cleanse and manipulate your data.

    Tip

    This module is part of a multimodal learning experience. Start the module to see how you can follow along!

  • Module 3: Use the Custom Vision service to analyze images of animals, like Bungee, without ever writing code.

    • This module is part of a multimodal learning experience. Start the module to see how you can follow along!

    In this module, you will:

    • Create a good dataset of images for training AI.
    • Train a Custom Vision AI model on a particular animal.
    • Test the model you trained.
    • Ensure ethical practices throughout AI development.

    Tip

    This module is part of a multimodal learning experience. Start the module to see how you can follow along!


Syllabus

  • Module 1: Plan a Moon mission by using Python pandas
    • Introduction
    • Understand the significance of Moon rocks
    • Exercise - Get the rock sample data into Visual Studio Code
    • Exercise - Determine the question to ask to inform data cleansing
    • Exercise - Add rocket weight data to the mission analysis
    • Exercise - Understand the data in the missions DataFrame
    • Exercise - Predict Artemis sample capacity
    • Exercise - Prioritize Moon rock sample gathering based on data
    • Exercise - Develop a recommendation of Moon rock samples to be collected
    • Knowledge check
    • Summary
  • Module 2: Predict meteor showers by using Python and Visual Studio Code
    • Introduction
    • Chang'e and the stardust in space
    • Exercise - Data science basics and environment setup
    • Exercise - Collect data related to meteor showers
    • Exercise - Cleanse meteor data
    • Exercise - Write a predictor function - Part 1
    • Exercise - Write a predictor function - Part 2
    • Exercise - Add data from the Chang'e story
    • Knowledge check
    • Summary
  • Module 3: Use AI to recognize objects in images by using the Custom Vision service
    • Introduction
    • Why take pictures of Bungee on the Moon?
    • Exercise - Set up the Custom Vision service
    • Understand artificial intelligence and Custom Vision
    • Choose the right images to train AI
    • Exercise - Train the Custom Vision service
    • Exercise - Test and iterate on Custom Vision training
    • Knowledge check
    • Summary

Tags

Related Courses

Artificial Intelligence for Robotics
Stanford University via Udacity Intro to Computer Science
University of Virginia via Udacity Design of Computer Programs
Stanford University via Udacity Web Development
Udacity Programming Languages
University of Virginia via Udacity