Boston House Prices Prediction Using Machine Learning

A machine learning project focused on analyzing housing data and exploring the use of regression techniques to predict house prices based on available property-related features.

The project aims to understand housing data, identify patterns and relationships between different features, and apply machine learning concepts to a price prediction problem.

**Key Features:**

- Exploring and understanding the housing dataset.

- Performing data analysis to identify patterns and relationships.

- Preparing data for machine learning.

- Applying regression techniques for house price prediction.

- Evaluating model performance using appropriate metrics.

This project provides practical experience in data analysis and machine learning, demonstrating how data can be used to build predictive models for real-world problems.