LinearRegression---INT3103

Introduction

A project help you to predict your salary with your informations (such as Working Experience, calculate by month or year).

Technologies

Project uses:

• Visual Studio Code (VSCode).
• NumPy 1.26.0.
• Matplotlib 3.8.0.
• Scikit-Learn - A popular library for Machine Learning.

Set up environment

• Linux

  • Turn on your terminal.

  • Download python to your computer

    • Type:

        $ sudo apt-get update
        $ sudo apt-get install python3.6
    

  • Download numpy

    • Type:

        $ python3 install numpy
    

  • Download matplotlib

        $ python3 install matplotlib
    

  • Download sckit-learn library

        $ python3 install -U scikit-learn
    

Compile and Run

• You should run main.py (the main code) with one of data (in directory data). For example, when you run with data "YearExperience_Salary_1.data":

      python3 main.py data/YearExperience_Salary_1.data
  

• It will return the best model for this data, then request you to predict. You shoud type information to get your result - the expected salary.

_ If you have new data, you can extract your csv data by file extractData.py: python3 extractData.py csv/yourDataName.csv > data/yourDataName.data