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"I enjoyed the collaboration through the capstone project and what we learned after getting our hands on a real dataset. I liked the Kahoots—they showed who understood things so others could get help, and the explanations helped when many people got something wrong. Thank you for teaching me about data and AI!"

"Overall, I had a great experience and learned a huge amount about data science in just three weeks. The visualizations and different kinds of graphs, the data talks and exercises, and learning about Pandas and its capabilities—plus the final project—really helped solidify what I learned in a friendly, helpful environment."

"I learned about word vectorization—how words are converted into numerical information by algorithms. I also learned the difference between performance metrics like F1 score versus accuracy and what each tells us. Finally, I learned about data splitting: training, testing, and validation."

"Visualization was heavily emphasized—beyond knowing boxplots, heatmaps, and pie charts, we learned how to translate a massive pile of data into clear graphs. Cleaning large Reddit comment datasets made our data more accurate and was essential for a proper ML model. We truly put ML concepts to the test through this program."

"At the start, we each came up with our own research questions and learned how to combine them into one. We cleaned and analyzed data, used pandas, visualized with graphs, applied decision trees and random forests, and saw tuning boost performance. Using GitHub, we shared and reviewed code together, strengthening our research work."

"We would surely like to publish a research paper based on this and maybe help people who are living under impoverished conditions. Going to be published somewhere or shared with government bodies—how it's going to take it forward—we're excited to see it have real impact."