/Real-Estate-Price-Predictor

A multi-variate linear regression model that predicts real estate prices.

Primary LanguageJupyter NotebookMIT LicenseMIT

Real-Estate-Price-Predictor

A multi-variate linear regression model that predicts real estate prices.

This project constitutes the first part of my assignment for The Machine Learning & Deep Learning Show 2022.

📌Link to the assignment

Open with drive

🏷️Tech Stack Used

Python3, NumPy, Pandas and Matplotlib libraries

Problem Statement

Implement a Multi-variate Linear Regression after finding your own data

Dataset

The dataset used for this project contains information on different properties such as transaction date, house age, latitude, longitude, and other features. The dataset has been cleaned and preprocessed to remove any missing or incorrect data points.

Link to the source of the dataset

Code

To use the Real Estate Price Predictor, simply run the Real_Estate_Price_Prediction.ipynb script. The script will then output the predicted price of the property based on the trained model.

Contributing

Contributions are always welcome!

See contributing.md for ways to get started.

Please adhere to this project's code of conduct.

Authors

Acknowledgements

License

This project is licensed under the MIT License. See the LICENSE file for more information.

Related

Here is another related project:

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