This interactive web application predicts salaries based on years of experience using a linear regression model. Built with Python, Streamlit, and essential data science libraries, this app allows users to explore a dataset, visualize relationships, and predict salaries dynamically.
Author - Anu
- Upload a CSV dataset or use sample data.
- Visualize the relationship between experience and salary with scatterplots.
- Predict salaries interactively based on years of experience.
- Evaluate the model using Mean Squared Error (MSE).
- Linear Regression: Supervised learning to model salary predictions.
- Train-Test Split: Divide the dataset for training and testing the model.
- Data Visualization: Scatterplots and regression lines using Seaborn and Matplotlib.
- Interactive Predictions: Real-time input for dynamic results via Streamlit.
https://interactive-salary-prediction-flgnkrlsbfelpanwhnushb.streamlit.app/