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
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
Chapter6: Security And Privacy
Section: Chapter Questions
Problem 18QY
Related questions
Question
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 .
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 4 images
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Recommended textbooks for you