A Practice of analysis, optimization, regularization, feature selection, and modeling on the common wine data set
This project is a part of a collaborative effort between a group of fellows at the Flatiron Data Science Fellowship.
- Misha Berrien: GitHub, Personal Website
- Cliff Bridges: GitHub, Personal Website
- Tim Christy: GitHub, Personal Website
- Kate Hayes: GitHub
- Nateé Johnson: Github, Personal Website
This repo was created to practice Machine Learning Models in a collaborative environment. Other projects can be found on the respective Githubs of each project memeber.
- Machine Learning
- Data Visualization
- Predictive Modeling
- SciKitLearn
- Jupyter Notebooks
- Python
In Progress
- Clone this repo (for help see this tutorial).
- Raw and processed Data is being kept [data folder link] within this repo.
- Data processing/transformation scripts are being kept [src folder link]
- Jupyter Notebboks can be found here [notebooks folder link]
- Final Results including the final technical and non-technical write ups when completed can be found here [results folder link]