Wine quality prediction is done using linear regression (Logistic reg can also be used)

Wine-quality_predictions.pdf shows the report and explains how the best fit model is selected. r script basic data loading.R shows the R script used to obtain these results.
The following work is performed:

• Assumptions of linear regression are checked.
• best linear regression model is selected using exhaustively searching along with some intutions from correlation plot.
• AIC and BIC values are used to select best features.

Report Snapshot can be seen as:

• Please, read report for a complete understanding of work that is been carried out.