retfeed.blogg.se - october 2022

#The linear regression equation example how to

The result should be a linear regression equation that can predict future students’ results based on the hours they study.

The data scientist trains the algorithm by refining its parameters until it delivers results that correspond to the known dataset. 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. Statistics Concepts for Data Scientists.Home / Learning / Machine Learning Algorithms / Linear Regression What is Data Visualization? expand_more.Machine Learning Algorithms expand_more.Statistics Concepts for Data Scientists expand_more.What Can You Do With a Computer Science Degree?.

#The linear regression equation example how to

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