This project aims to predict house prices based on relevant features using Machine Learning. In this particular implementation, Linear Regression has been employed as the predictive model. Linear Regression is a simple yet effective algorithm for predicting a numeric value based on one or more input features.
|-- house_price_prediction/
|-- dataset.csv
|-- House_Price_Prediction.ipynb
|-- README.md
This project is created and maintained by Deepakvenugopal05. Feel free to contribute or provide feedback!
This project is licensed under the MIT License.