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Salary prediction is a critical application of machine learning, where the aim is to estimate an individual’s salary based on various predictive factors such as years of experience, education level, industry, location, and skills.

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Salary Prediction Program

Overview

This program uses machine learning to predict the salary of an individual based on various factors like years of experience and education level. The goal is to build a regression model that can predict a person's salary using features such as experience and education. In this example, we'll use a simple linear regression model.

Technologies Used

  • Python 3.x
  • Scikit-learn: For machine learning and regression models.
  • Pandas: For data manipulation.
  • NumPy: For numerical operations.
  • Matplotlib: For data visualization (optional).

Installation

Follow these steps to set up the environment and run the program:

Step 1: Clone the Repository

git clone https://github.com/your-username/salary-prediction.git
cd salary-prediction

About

Salary prediction is a critical application of machine learning, where the aim is to estimate an individual’s salary based on various predictive factors such as years of experience, education level, industry, location, and skills.

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