Develop a simple linear regression model (univariate model) using gradient descent method for experience-salary datasets as it is shown on the following table. Once you got the model, check how close the predicted values against the ground truth and calculate the total error (mean square error) and the accuracy R2 . No Experience Salary ($) Predicted
Develop a simple linear regression model (univariate model) using gradient descent method for experience-salary datasets as it is shown on the following table. Once you got the model, check how close the predicted values against the ground truth and calculate the total error (mean square error) and the accuracy R2 . No Experience Salary ($) Predicted
Chapter9: Advanced Array Concepts
Section: Chapter Questions
Problem 1GZ
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) Develop a simple linear regression model (univariate model) using gradient descent method
for experience-salary datasets as it is shown on the following table. Once you got the model, check
how close the predicted values against the ground truth and calculate the total error (mean square
error) and the accuracy R2
.
No Experience Salary ($) Predicted
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