SVM Implementation Steps: 1 to 7

This lesson will cover the implementation steps (1-7) of support vector machines.

1) Import libraries

You will be using SVC (Support Vector Classifier) from the Scikit-learn library to implement this model and evaluating the predictions using a classification report and confusion matrix. You will later optimize the model using grid search.

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