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wine-down's Introduction

Wine Down

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.

Project Members

  • Misha Berrien: GitHub, Personal Website
  • Cliff Bridges: GitHub, Personal Website
  • Tim Christy: GitHub, Personal Website
  • Kate Hayes: GitHub
  • Nateé Johnson: Github, Personal Website

-- Project Status: [Active]

Project Intro/Objective

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.

Methods Used

  • Machine Learning
  • Data Visualization
  • Predictive Modeling
  • SciKitLearn

Technologies

  • Jupyter Notebooks
  • Python

Project Description

In Progress

Inside this Repo

  1. Clone this repo (for help see this tutorial).
  2. Raw and processed Data is being kept [data folder link] within this repo.
  3. Data processing/transformation scripts are being kept [src folder link]
  4. Jupyter Notebboks can be found here [notebooks folder link]
  5. Final Results including the final technical and non-technical write ups when completed can be found here [results folder link]

Featured Notebooks/Analysis/Deliverables (as of yet unavailable)

wine-down's People

Contributors

99khayes avatar mberrien-fitzsimons avatar tim-christy avatar

Watchers

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