Week 3
This week was all about getting a better idea of the project’s direction and learning about ways to accomplish our project goals.
Web Scraping
One idea for the project is that we can web scrape from housing assessor websites such as Iowa Assessors and Trulia. If we are able to successfully do so, we can use images of houses and other information to train our AI model. I focused on learning more about web scraping using R through the DataCamp Course called Web Scraping in R. Before that I also worked on the Intermediate R course to better understand what can be done with R. I have been trying to understand the web scraping process using DataCamp and other online tutorials.
We are also trying to gather images of houses and other data using a google API.
Artificial Intelligence
Something that has been interesting this week is learning how we can use AI to help with our project. I am learning more about AI through the videos: Getting Started with Python Deep Learning for Beginners and Build a Deep CNN Image Classifier with ANY Images, and Gavin’s explaining.
Things That are Going Well
One of my hopes from week 2 was that I would get better with editing and updating blogs. Now I feel a bit more comfortable with the blogs and things are working better for me.
I also think that my group has a good idea of what we should get done. We were also able to come up with steps (ex. creating trials for our AI model that would be easier to troubleshoot).
Things to Work On
I definitely want to make more progress with web scraping because that is a key part of the project.