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  3. Analyzing IoT Data in Python

Exercise

Logistic Regression

Using the data from the previous exercise, you'll now train a Machine learning model.

In line with best practices, the data is now available as X_train, while the labels have been loaded as y_train. A subset of the data is also available as X_test. You'll learn later in this chapter how to properly create these variables.

Instructions

100 XP
  • Import LogisticRegression from sklearn.linear_model.
  • Initialize the model as logreg.
  • Fit the model to X_train with the labels y_train.
  • Predict some classes using X_test.