This project aims to predict house prices using Linear Regression and Gradient Boosting Regressor techniques.

House price prediction is a common problem in real estate and finance industries. By leveraging machine learning algorithms, we can analyze various features of a house and predict its price with reasonable accuracy.

The tutorial and detailed write-up for the code can be found on Medium. Follow the link below to access the tutorial:

Create a Model to Predict House Prices Using Python

This project is part of a data science exploration into predictive modeling for real estate valuation. It utilizes Python programming language and popular machine learning libraries such as scikit-learn for model development and analysis.

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