JTanner4

cloud_guide

CS-450

Data-Wrangling-and-Visualization

distill_blog

https://jtanner4.github.io/distill_blog/

docker_guide

Fackrell_Tanner_Resume

feature-engineering-for-time-series-forecasting

gitignore

A collection of useful .gitignore templates

Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn

Hands-On Gradient Boosting with XGBoost and Scikit-learn

irs990_data_supplements

Learning_Predictive_Modeling

Machine-Learning-for-Time-Series-with-Python

Machine Learning for Time-Series with Python.Published by Packt

nlp_elastic_search

riley_dixon_resume

RIntegrationPack

The MicroStrategy R Integration Pack enables analysts to leverage the power of R in their dashboards

rocker_guide

Statistics-Notebook

This began as the textbook for Intermediate Statistics (Math 325) at BYU-Idaho. It aims to become a personal notebook for performing and interpreting statistical analyses in R. Contributions and ideas for improvement are welcome.

tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

tidymodels_pipeline