AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
![]() The student inputs a portion of a set of known results as training data. It’s used for finding the relationship between the two variables and predicting future results based on past relationships.įor example, a data science student could build a model to predict the grades earned in a class based on the hours that individual students study. Linear regression is a supervised learning algorithm that compares input (X) and output (Y) variables based on labeled data. ![]()
0 Comments
Read More
Leave a Reply. |