Salary Prediction with SK Learn Linear Regression

Overview

This project demonstrates how to predict salaries using a linear regression model implemented with sklearn. The dataset used includes features like experience, education, and skills to train the model.

Project Structure

• data/: Contains the dataset used for training the model.
• notebooks/: Jupyter Notebooks used for data exploration and model building.
• README.md: Project overview and documentation.

Requirements

To run the project, you will need to install the following packages:

• Python 3.x
• sklearn
• pandas
• numpy
• matplotlib (for visualizations)

Install the packages using the command:

pip install -r requirements.txt