💼 Salary Prediction Model

This project demonstrates a simple Linear Regression model built with scikit-learn to predict a person's salary based on their years of experience. The model is deployed using Streamlit for a clean and interactive web interface.

🌐 Live Demo

🔗 Visit Website

📸 Screenshot

📊 Dataset

• Source: Salary Dataset
• Contains:
  • Experience Years
  • Salary

🔧 Technologies Used

• Python
• Pandas & Matplotlib
• Scikit-learn
• Streamlit
• Pickle (for model serialization)

🧠 Model Workflow

1. Load Dataset (online & offline options)
2. Visualize the relationship using a scatter plot
3. Split data into training and testing sets
4. Train a Linear Regression model
5. Evaluate model with R² Score and MSE
6. Serialize the trained model using pickle
7. Deploy using Streamlit

🙏 Contributors

Thanks to everyone who’s contributed!

• Mubeen Channa (@Mubeen-Channa) – Project maintainer
• Irfan Narejo (@meet-irfan) – Boot accuracy to 90% (+4%), cut MSE to 31 (from 48)

Feel free to add yourself here if you make a contribution!

🙏 Contributors

Thanks to everyone who’s contributed!

Mubeen Channa Project maintainer

Irfan Narejo Boot accuracy to 90% (+4%), cut MSE to 31 (from 48)

🚀 How to Run Locally

1. Clone the repository
2. Install required packages:

   1. pip install pandas matplotlib scikit-learn streamlit
   2. python -m streamlit run app.py / streamlit run app.py