## Objective
Your objective is to train a text classification model to analyze textual reviews of certain whiskeys in order to predict the type of whiskey being reviewed.

## Background
The training dataset contains textual reviews of different kinds of whiskeys, and the category of whiskey being reviewed (1: Scotch, 2: Bourbon/Tennessee, 3: Craft, 4: Canadian).

However the training dataset contains textual reviews, but no categories. So your job is to produce a solutions file that contains your model's predicted category for each of the reviews in the training set.

## Data Dictionary
The competition data has been obtained from the Whiskey Advocate.

## Files
- train.csv - the training set
- test.csv - the test set
- sample_submission.csv - a sample submission file in the correct format

## Columns
- id: the review's unique identifier
- description: the review text itself
- category: the type of whiskey being reviewed (1: Scotch, 2: Bourbon/Tennessee, 3: Craft, 4: Canadian)