https://github.com/govinddixit/bluff-detector
https://github.com/govinddixit/bluff-detector
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/govinddixit/bluff-detector
- Owner: GOVINDDIXIT
- License: mit
- Created: 2019-07-18T12:41:30.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-07-20T15:25:04.000Z (about 7 years ago)
- Last Synced: 2025-08-25T16:37:28.548Z (12 months ago)
- Language: Python
- Size: 91.8 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Bluff Detector
*A Bluff Detector machine learning model based on Polynomial Linear Regression. It can be used to identify the bluff which a new employee can made on his past job salary. The model in input takes an experience level and predict the right salary for a given experience / position level.*
### DataSet
Dataset consists of 10 entries of the employees salaries based on their experience/position level.
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.
### Plots
- *Plot of Salary vs position level using simple linear regression*

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- *Plot of Salary vs position level using polynomial linear regression*

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- *Plot of Salary vs position level using polynomial linear regression and high precision*

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- *Plot of Salary vs position level using decision tree*

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- *Plot of Salary vs position level using random forest with 10 decision tree*

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- *Plot of Salary vs position level using random forest with 100 decision tree*

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- *Plot of Salary vs position level using random forest with 300 decision tree*
