https://github.com/govinddixit/salary-predictor
A Salary predictor machine learning model based on Linear Regression, can be used to predict the salaries of the employees based on their experiences.
https://github.com/govinddixit/salary-predictor
linear-regression machine-learning prediction-model
Last synced: 16 days ago
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A Salary predictor machine learning model based on Linear Regression, can be used to predict the salaries of the employees based on their experiences.
- Host: GitHub
- URL: https://github.com/govinddixit/salary-predictor
- Owner: GOVINDDIXIT
- Created: 2019-07-16T18:15:18.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-07-16T21:26:43.000Z (about 7 years ago)
- Last Synced: 2025-10-14T12:58:00.435Z (10 months ago)
- Topics: linear-regression, machine-learning, prediction-model
- Language: Python
- Homepage:
- Size: 28.3 KB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Salary Predictor
*A Salary predictor machine learning model based on Linear Regression, can be used to predict the salaries of the employees based on their experiences.*
### DataSet
Dataset consists of 30 entries of employess with the salaries based upon their experiences in years
- *Training Set = 80% of total dataset = 24 entries*
- *Test Set = 20% of total dataset = 6 entries*
Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task. Regression models a target prediction value based on independent variables. It is mostly used for finding out the relationship between variables and forecasting. Different regression models differ based on – the kind of relationship between dependent and independent variables, they are considering and the number of independent variables being used.
- *Plot of Salary vs Experince for Training Data*
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- *Plot of Salary vs Experince for Test Data*
