**This resource is provided only as a reference for future students.** Not all courses (or even all courses I personally took) are included here.

- Textbook:
*An Introduction to Statistical Learning with Applications in R*by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani - Coursework Fall 2019

Explanatory Modeling for Business Analytics: Goodbelly Case

- Technical Summary - summary of technical report (This portion of the project was originally completed by 3 of my classmates and me in a group of 4. Here, I’ve condensed my contribution both for the sake of brevity and in the interest of only publishing work I directly completed.)
- Things to Improve
- Code (Python) - includes the dataset provided by the instructor
- Model Outputs (Text Files) - details for each model w/ a list of the IVs, R-squared, regression equation, terms with coefficients and p-values
- 3D Plots
- Predicted vs. Actual Plots

- Coming soon: Sample SQL from Assignments and Final Project

- Final Term Project
- Case Study from Textbook
- Textbook:
*Big Data Driven Supply Chain Management*by Nada Sanders

- Can Twitter sentiment predict Bitcoin performance? (Final Term Project)
- Recommendation Algorithm Explanations (Final Term Project - Appendix)
- My (crappy) examples

**Last Updated:** May 8, 2019