Overview
RealQuantML is a comprehensive tool designed to leverage the power of machine learning in the realm of real estate quantitative analysis. This project aims to provide insightful analytics, forecast market trends, and aid in decision-making processes by applying advanced data science techniques to real estate data.
Features
Quantitative Analysis: In-depth analysis of real estate data to uncover market trends and patterns. Machine Learning Integration: Utilizing machine learning algorithms to predict real estate prices and market behavior. Data Visualization: Interactive charts and graphs to visualize complex data in an easily understandable format. User-Friendly Interface: Simple and intuitive interface for users to interact with the analysis tools. Customizable Parameters: Users can input specific criteria to tailor the analysis to their needs. Installation
Clone the repository to your local machine:
bash Copy code git clone https://github.com/benjamin-githubprofile/RealQuantML.git Navigate to the project directory:
bash Copy code cd RealQuantML Install the required dependencies:
Copy code pip install -r requirements.txt Usage
Provide instructions on how to use the application. Include any necessary commands, as well as a description of the output.
Contributing
Contributions to RealQuantML are welcome! Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
Mention any inspirations, code snippets, etc. Any collaborators or contributors