Course Content

Course Content

FAQs

Your variables' data measurement type may have an impact on how machine learning models treat them and learn from them. Nominal, ordinal, interval, and ratio are the four data measurement levels, from lowest to highest.

Stanley Stevens, a psychologist, created the four most used measurement scales: nominal, ordinal, interval, and ratio. Each scale of measurement has characteristics that influence how data should be analysed.

The International System of Units (SI), the British Imperial System, and the US Customary System are the three standard measurement systems. The International System of Units (SI) units are widely used among these.

Data science is concerned with the collection, analysis, and decision-making of data. Finding patterns in data, analysing it, and making future predictions are all part of data science. Companies can use Data Science to create the following improvements: (should we choose A or B)

The Imperial or British system, which is currently mostly used in the United States, and the metric system, which is largely used in Europe and most of the rest of the globe.

Recommended Courses

Share With Friend

Have a friend to whom you would want to share this course?

Download LearnVern App

App Preview Image
App QR Code Image
Code Scan or Download the app
Google Play Store
Apple App Store
598K+ Downloads
App Download Section Circle 1
4.57 Avg. Ratings
App Download Section Circle 2
15K+ Reviews
App Download Section Circle 3
  • Learn anywhere on the go
  • Get regular updates about your enrolled or new courses
  • Share content with your friends
  • Evaluate your progress through practice tests
  • No internet connection needed
  • Enroll for the webinar and join at the time of the webinar from anywhere