Importing the libraries
Importing the dataset
Splitting the dataset into the Training set and Test set
Feature Scaling
Applying Kernel PCA
Training the Logistic Regression model on the Training set
Making the Confusion Matrix
Visualising the Training set results
Visualising the Test set results