A house price prediction model using multiple linear regression on a Bangalore house dataset.
The dataset used in this project contains information on various houses in Bangalore, India. The data includes features such as the area of the house, number of bedrooms, and location, availability, society, balcony, and price.
- Python 3.x
- Pandas, Numpy, and Scikit-learn libraries
To install the required libraries, run the following command: pip install pandas numpy scikit-learn
- Clone or download the repository.
- Navigate to the project's directory and run the
main.pyfile using Python. - The model will automatically train on the provided dataset and make a prediction for a sample house.
The Model is evaluated using R-squared and Mean absolute error .
If you have any questions or issues, feel free to contact me at [email protected].
Enjoy the model!