Regression Analysis on Wine data

Problem Definition:

A wine dataset is provided. The task is to analyze data and build a regression model to predict the quality of the wine.

Methodology

• Description of data
• Preprocess data
• Visualize data
• Build a Regression model
• Check Regression Assumptions
• Goodness of fit
• Compare different Regression methods

Description of data

• Name of the data: Wine data from UCI Machine learning repository
• Number of data points: 4898
• Number of features: 11
• Target attribute: Quality of wine
• Range of target attribute: 3 to 9

Links:

• Wine data
• Link to the report(detailed analysis) - Report
• Source code can be found on Kaggle

Developer:

• Mamidi Ratna Abhishek(GitHub, LinkedIn, Kaggle)