Machine Learning, Data Science, Healthcare, Biology.
InlineBackend.figure_format='retina' # Load in the data df = pd.read_csv('2013_2014_cleaned.csv') # Standardize the data to have a mean of ~0 and a variance of 1 X_std = StandardScaler().fit_transform(df) # Create a PCA instance: pca pca = PCA(n_components=20) principalComponents =