Wine Data App Part 1

Richard Ng

2019-05-20

Update 2019-05-25 - Dataset change

We have decided to instead choose a dataset with only numerical data. The alternate Kaggle dataset is still base on the wine theme. This dataset describes the chemical properties of a wine (eg. pH, acidity, alcohol) and also gives each wine a quality score. We decided on this dataset because the model would be more straight forward with only numerical data.

Introduction

As my very first foray into coding, I will be begin with building a simple app using a wine dataset from Kaggle. As an introduction to coding, this app will combine many different developer skills.

Outline

Data Analysis / Machine Learning

The very core of the app will be based on the wine dataset. Using the provided variables, a predictive model will be created using a machine learning algorithm (to be determined). Categorical variables such as country of origin and wine variety will be used in combination with numerical variables such as wine price to predict an overall wine tasting score.

Back End / API

The model will be wrapped in an API that will be able to take input variables (country, variety, etc.) and output an overall wine tasting score.

Front End / App

The API will then be wrapped in a front end app, that will allow the user to manually enter variables and get a score as an output.