Internship-Task

Wine Quality Prediction

Given a set of features as inputs, the task here is to predict the quality of wine on a scale of 0 - 10. I have solved it as a regression problem using Linear Regression. Dataset

The dataset used here is Wine Quality Data set from Kaggle

Input variables (based on physicochemical tests):

fixed acidity
volatile acidity
citric acid
residual sugar
chlorides
free sulfur dioxide
total sulfur dioxide
density
pH
sulphates
alcohol

Output variable (based on sensory data): quality (score between 0 and 10)

Dependencies

Python
Pandas
matplotlib
numpy
scikit-learn

Output

Correlation between different attributes

RMSE

Coefficient values