Polynomial-Regression-Salary-Prediction

About Dataset-

First lets look at the dataset. It is Position_Salaries.csv and can be found here. It has 3 columns -

1. Position

2. Level

3. Salary

and describes the approximate salary range for an employee based on what level he falls under. For example if an employee is a Manager - he falls in Level 4 and should get around $80,000.

Project Objective-

Lets assume the above table is what the HR team of a company uses to determine what salary to offer to a new employee. For our project, let's take an example that an employee has applied for the role of a Regional Manager and has already worked as a Regional Manager for 2 years. So, based on the table above, he falls between level 6 and level 7. Lets say he falls under level 6.5.