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Salary Prediction Using Linear Regression

This repository contains code for predicting salaries based on years of experience using simple linear regression.

Overview

The code provided in this repository demonstrates how to train a simple linear regression model to predict salaries based on the number of years of experience. It includes:

  • Loading a dataset of salaries and years of experience.
  • Splitting the dataset into training and testing sets.
  • Training a linear regression model on the training data.
  • Evaluating the model's performance on the testing data.
  • Visualizing the results using matplotlib.

Getting Started

Prerequisites

To run the code, you need to have Python installed on your system along with the following libraries:

  • NumPy
  • pandas
  • matplotlib
  • scikit-learn

You can install these dependencies using pip:

pip install numpy pandas matplotlib scikit-learn

### Usage
Clone the repository:

git clone https://github.com/your-username/Linear_Regression_Salary_Prediction.git

Navigate to the project directory:

cd Linear_Regression_Salary_Prediction