Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
pd.get_dummies(cereal_df_cleaned, columns=['mfr', 'type']) # Scaling the features from sklearn.preprocessing import StandardScaler scaler = StandardScaler() scaled_features = scaler.fit_transform(cereal_df_encoded) # Fit PCA to the data without reducing dimensions pca_full = PCA()