College of Engineering and Polymer Science
Date of Last Revision
Computer Information Systems
Senior Programming Projects
Number of Credits
Bachelor of Science in Computer Science
Date of Expected Graduation
I have created an AI model that can predict housing prices with 70 percent accuracy in Ames Iowa. I was able to use data from a website called Kaggle.com which is a website that provides datasets to the public so they can create AI models with the data. I found the dataset pertaining to housing prices in Ames Iowa. With this data, I was able to create an AI model that can predict the housing price of these homes. The technology I used in this project was Python as the programming language, and I used the scikit-learn library which has many useful tools that I used when creating this model. I give a run down on the steps I took to create this model as well as my thought process behind each decision. I go in-depth on the importance of feature selection and data preparation to increase the accuracy of the model. As well as other techniques such as encoding and ensemble models to increase the accuracy as well. In conclusion, I found that this was a great learning experience for me and I hope that those who wish to create similar AI models in the future can utilize some of the techniques that I cover.
Honors Faculty Advisor
Proprietary and/or Confidential Information
Sconyers, Eric, "Predicting Housing Prices Using AI" (2023). Williams Honors College, Honors Research Projects. 1733.