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We will apply pca on wine dataset

Applying PCA on relevant predictors

Analyzing components of the output

Creating biplot

Calculating proportion of variance

Creating scree plot and cumulative plots

Building model using PC1 to PC4

Making Predictions

We cannot convert test data into principal components, by applying pca. Instead we have to apply same transformations on test data as we did for train data

Making predictions