Polynomial regression is a form of nonlinear regression that describes nonlinear relationships in a dataset. There are several advantages to linear regression, mainly high accuracy. For your assignment, you will build a polynomial regression model in Python. The data is in a .CSV file that has the following information types. Position Level Salary Business Analyst 1 45000 Junior Consultant 2 50000 Senior Consultant 3 60000 Manager 4 80000 Country Manager 5 110000 Region Manager 6 150000 Partner 7 200000 Senior Partner 8 300000 C-level 9 500000 CEO 10 1000000   Using this data, our model should be able to predict the value of an employee candidate given their years of experience. The Python file must demonstrate the prediction of employee salary based on years of experience.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Polynomial regression is a form of nonlinear regression that describes nonlinear relationships in a dataset.

There are several advantages to linear regression, mainly high accuracy.

For your assignment, you will build a polynomial regression model in Python.

The data is in a .CSV file that has the following information types.

Position Level Salary
Business Analyst 1 45000
Junior Consultant 2 50000
Senior Consultant 3 60000
Manager 4 80000
Country Manager 5 110000
Region Manager 6 150000
Partner 7 200000
Senior Partner 8 300000
C-level 9 500000
CEO 10

1000000

 

Using this data, our model should be able to predict the value of an employee candidate given their years of experience.

The Python file must demonstrate the prediction of employee salary based on years of experience.

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