Below are examples of coding projects I've headed.
For many projects I worked on, I did not own the rights to the data I worked with. In some of these cases, publications are still
being sought. For these and other legal reasons, while the relevant jpynb notebooks will be available, the data utilized in such will
not be available. However, sources will be given, and you may reach out to others to obtain such. Specifically, my work with
Dr. Hansen's Agricultural Water Saturation Project is still seeking publication of the relevant Data Analysis.
Its well known that much of the problem with studying Data Analysis is finding relevant research. In my studies, I found
the book The Statistical Sleuth
to be an invaluable resource. It is light on Mathematical formula, but in depth with logical procedure, and comes with many
extremely helpful data sets, along with exercises on these sets. I would recommend pairing it with the Python libraries "Scipy Stats"
and "Statsmodels.api". Many of my relevant Data Analysis projects are taken from these data sets.
| PROJECTS | EXAMPLE CODE/LANGUAGE |
|---|---|
| Brigham Young University Machine Learning Artifacts | James Tyler's Masters Project, (.pdf), |
| Haley Moon Data Analysis | Moon Presentation, (.pdf), Source Data, (.csv), Variable Meanings, (.txt), Linear Regression Analysis, (Python), |
| Neal Hansen Water Saturation Analysis | Initial Feasibility Presentation, |
| Methods of Data Analysis Examples | |
| Calculus Illustrations | Pass the Pigs (Python), Collatz Conjecture (Python), Newton's Method (Python) |
| Fun Work | Pokemon Typing Breakdown (Python), with Source Data | ,
References: Todd W. Neller has a great publication on Pass the Pigs optimal play.
Any of the jupyter notebooks are meant to be downloaded and ran on Google Colab. If additional packages are required, they'll be noted.