Employee Salary Prediction Web Application | Machine Learning

Developed an end-to-end Machine Learning web application to predict employee salaries based on job-related

features.

• Performed data cleaning, preprocessing, feature engineering, and model training using Python and Scikit-learn.

• Built and deployed an interactive web application using Flask, HTML, CSS, and Jinja2.

• Saved and loaded the trained model using Joblib for real-time predictions.

• Designed a user-friendly interface with dropdown menus and dynamic salary prediction results.

Technologies: Python, Pandas, NumPy, Scikit-learn, Flask, HTML, CSS, GitHub