Predicting House Prices in São Carlos Using Machine Learning

This Omdena Local Chapter Challenge runs for 8 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by São Carlos, Brazil Chapter.

The problem

A Machine Learning based solution can be useful to accurately forecast housing prices in different neighborhoods of São Carlos. By leveraging historical data, socioeconomic factors, and advanced algorithms, this project aims to provide a tool for people to navigate the complex real estate market in São Carlos. The accurate prediction of house prices in São Carlos is crucial for various stakeholders, including homebuyers, sellers, real estate agents, and investors. Reliable price predictions can help buyers make informed decisions about their investments, assist sellers in setting competitive prices, and enable real estate professionals to provide better guidance to their clients.

The goals

The specific goals and deliverables are:

• Create a comprehensive dataset by collecting and preprocessing real estate data from reliable sources, ensuring data quality and integrity.
• Develop a robust machine learning model capable of accurately predicting house prices based on a variety of relevant features such as location, size, number of rooms, amenities, and historical sales data.
• Evaluate and optimize the model’s performance by employing various techniques such as feature engineering, model selection, hyperparameter tuning, and cross-validation.
• Build an interactive web application that allows users to input the details of a house and obtain an estimated price prediction from the trained machine learning model.
• Generate detailed documentation that outlines the project methodology, data preprocessing steps, model architecture, and any additional insights or findings discovered during the project, providing a clear roadmap for reproducibility and future enhancements.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work