Data Science, Factor Analysis, Data, Machine Learning, Statistics.
each column represents a variable, i.e., a feature. This way we compute the covariance of features as whole instead of the covariance of each row covariance_df = pd.DataFrame(data=np.cov(normalized_dataset, bias=True, rowvar=False), columns=dataset.columns) # Plot Covariance Matrix