New York Airbnb Data
Outcomes
- Expanded technical skills by using Orange3
- Strengthened leadership abilities
- Developed team collaboration
- Improved project management
The goal of this project was to predict the price categories of New York Airbnb listings, classifying them into low, medium, and high price ranges. The main challenge I faced was using Orange3, a data visualization and analysis tool, for the first time. Initially, I struggled to familiarize myself with the application and its numerous features. However, I dedicated significant time to exploring the software, learning the functions of the different widgets, and understanding how they could be effectively utilized in the context of our project. This experience expanded my technical skills, particularly in data preprocessing, visualization, and machine learning model development.
As the team leader, I took the initiative to organize our workflow by assigning specific tasks to each team member, ensuring everyone had a clear understanding of their responsibilities. I also set up regular meetings to track our progress and address any issues we encountered. During our collaboration, I helped guide discussions on which features were most important to include in our model, and I facilitated the integration of the various parts of our analysis.