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README.md

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 license: apache-2.0
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+README
+Introduction
+This repository contains a Gradient Boosting Regressor model trained to predict house rents. The model was trained on a dataset that was preprocessed and cleaned to ensure the best possible predictions.
+
+Getting Started
+These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
+
+Prerequisites
+You need Python 3.7 or later to run the scripts. You can have multiple Python versions (2.x and 3.x) installed on the same system without problems.
+
+In Ubuntu, Mint and Debian you can install Python 3 like this: sudo apt-get install python3 python3-pip
+
+For other Linux flavors, macOS, and Windows, packages are available at
+
+https://www.python.org/getit/
+
+Required Python Packages
+You will also need the following Python packages:
+
+pandas
+sklearn
+joblib
+These can be installed using pip: pip install pandas sklearn joblib
+
+Cloning the Repository
+To clone this repository, run the following command in your terminal:
+git clone <repository-link>
+
+Running the Script
+To use the model to predict house rents, run the predict.py script. You will be asked to input data for 'Area' and 'Suburb'. The script will then print the predicted rent.
+
+To run the script: python test.py
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+
+