/Regression-Analysis

Linear Regression Analysis on Wine data - Pre-processing data, Exploratory Data Analysis, Building a model, Check assumptions, Goodness of fit and Compare with different methods.

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

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