House Price Prediction – Machine Learning

This project focuses on predicting house prices using machine learning regression techniques. The model analyzes housing features such as area, number of rooms, location factors, and other attributes to estimate property prices accurately.

Project Highlights

• Performed data cleaning and preprocessing
• Exploratory Data Analysis (EDA)
• Applied Regression Algorithms
• Model evaluation using accuracy metrics
• Visualization of results using Matplotlib/Seaborn

Technologies Used