Data Science, Artificial Intelligence, K Means, Audience Engagement, Python.
random_state=99).fit(X_scaled) # Transform our dataset X_scaled_red = pca.transform(X_scaled) It’s important to understand that when dimensionality reduction is carried out using PCA, the outcome will be a set of new features which are linear combinations of the original features. Despite the loss