Machine Learning, Artificial Intelligence, Dimensionality Reduction, Data Science, Heartbeat.
current dataset has 20 features, let’s explore how PCA can help us reduce the number of features to 10. Defining the model and applying PCA to dataset # define the pipeline steps = [('pca', PCA(n_components=10)), ('m', LogisticRegression())] model = Pipeline(steps=steps) Model Evaluation # evaluate