1. Learn
    2. /
  2. Courses
    3. /
  3. End-to-End Machine Learning

Exercise

Training a model

In the video, you learned how to train a model using scikit learn. In this exercise, you will demonstrate your new skills by training a support vector classifier (SVC) model on the heart disease dataset. Your job is to split the data into training and testing portions, define the necessary model with the correct parameters, and train it on the split data. The heart disease data features and target have been imported as heart_disease_X and heart_disease_y, respectively.

Instructions 1/4

undefined XP
    1
    2
    3
    4
  • Import the train_test_split function and the SVC model type from sklearn.