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Problem Statement

To predict salary of employee based on information provided in dataset

AIM: What important conclusion a company and an employee can take out of an Analysis done on employees Salary and at end by Predicting Employees Salary.

How will company profit from this solution?

1. Somtime it become hard for any companie to keep track of their finances while paying salarie to employees, solving this problem can help them a ton
2. Breaking this priblem down can help companie to understand what factors affects their finance. for example: location ,employee experience, education qualification, so on....
3. Companie can get data about their competition finance and improve their own, on the basis of that data.
4. They can get an optimized range of salaries that should be given to their employees basedon factors such as job type,employee experience, education qualification, etc. that will reduce spending

How will employee profit from this solution?

1. Find it difficult to undestand what factors affect their salaries
2. Can find companies matching their salary requirement based on job title,experience, etc
3. Can understand what factor are affecting their salaries so they can improve working on particular factors
4. Can get data about salaries paid by other companies for same job title, experience,education qualification, etc it can help them to plan well eventually to get a raise in their salaries

Dataset folder contains following files:

File	Data Shape
batch2_jobID_00B80TR.csv	1000000 x 8
batch1_jobID_00A32TE.csv	1000000 x 7

Columns Provided in Dataset:

column name
companyId
jobType
degree
major
industry
yearsExperience
milesFromMetropolis
salary

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