Asif0521/Decision_model_regression

💼 Salary Prediction using Decision Tree Regression

This project predicts an employee’s salary based on demographic and professional features using a Decision Tree Regression model. The application is built with Streamlit and deployed on Hugging Face Spaces.

📌 Problem Statement

To build and deploy a machine learning model that predicts the salary of an employee based on features such as age, years of experience, education level, weekly working hours, and city tier.

🧠 Model Details

• —Model Type: Regression
• —Algorithm Used: Decision Tree Regressor
• —Target Variable: Salary (Continuous)
• —Evaluation Metric: R² Score
• —Model Accuracy: Above 90%
• —Dataset Size: 15,000+ rows

📊 Dataset Description

The dataset contains the following columns:

| Column Name | Des