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.
Python3, NumPy, Pandas and Matplotlib libraries
Implement a Multi-variate Linear Regression after finding your own data
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
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.
Contributions are always welcome!
See contributing.md for ways to get started.
Please adhere to this project's code of conduct.
- Real Estate Price Prediction
- Applied Multivariate Regression
- Multivariate Linear Regression from Scratch in Python
This project is licensed under the MIT License. See the LICENSE file for more information.
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