This project is part of the AAI-500 course in the Applied Artificial Intelligence Program at the University of San Diego (USD).

-- Project Status: Submitted

To use this project, clone the repo on your device using the terminal commands below:

git init

git clone https://github.com/mojodean/aai-500-project-obesity-levels

Ensure appropriate Python libraries are installed, including:

pandas
numpy
scipy
statsmodels
sklearn

Ensure you have a compatible IDE for reviewing Jupyter Notebook files.

• Bosky Atlani: GitHub
• Dean P. Simmer GitHub

Linear Regression Decision Tree Classifier Random Forest Model

• Jupyter Notebook
• Python

This project was done as a graduate-course-level exercise in analysizing a public dataset for machine learning. We evaluated and cleansed the dataset, threw our methods against it, and drew conclusions in a technical paper that was submitted alongside this jupyter notebook.

For this project, you can download the Jupyter notebook to review our code and analysis, and you may certainly submit issues or PRs if you have additional considerations or find any errors. While this is not an active project, its an example of a collaboration we did early on in our machine learning journey.

TBD

Estimation of Obesity Levels Based On Eating Habits and Physical Condition [Dataset]. (2019). UCI Machine Learning Repository. https://doi.org/10.24432/C5H31Z.