The purpose of this project is just to create a bunch of easy to use boilerplate Jupyter Notebooks for EDA, model selection and other common data science tasks.
This is a work in progress and pull requests are very welcome!
The work is organized into Jupyter notebooks and titled by number/name to keep the notebooks in order by topic.
- 1.0 - General Classifier Comparisons
- 1.1 KNN Grid Search
- 1.2 Naive Bayes Grid Search
- ??? some other model.... TBD
- Regression Model Comparison ... TODO
