Data Science, Artificial Intelligence, K Means, Audience Engagement, Python.
Instantiate PCA pca = PCA(n_components=16, random_state=99).fit(X_scaled) # Store explained variance results in a DataFrame evar_df = pd.DataFrame(data=pca.explained_variance_ratio_, index=range(1,len(feature_cols)+1)) .rename(columns={0:'pct_explained_variance'}) # Calculate cumulative explained