In this repository are three .py files and one .ipynb file containing code used to write the article Elastic Net Regression: A Brief Tutorial.
The .ipynb file contains the code used in the article.
Functions in data_cleaning.py
- separate_data()
- scale_data()
Functions in data_review.py
- get_info() *
- get_statistics()
Functions in eda.py
- gen_histograms() *
- gen_histograms_by_category()
- gen_violin_by_category() *
- gen_corr_matrix_hmap()
An * indicates a function was not used in the tutorial.