# Dropping original genre column df.drop('Genre', axis=1, inplace=True)
# Scaling scaler = StandardScaler() df[['Year', 'Runtime']] = scaler.fit_transform(df[['Year', 'Runtime']])
import pandas as pd from sklearn.preprocessing import StandardScaler
# Dropping original genre column df.drop('Genre', axis=1, inplace=True)
# Scaling scaler = StandardScaler() df[['Year', 'Runtime']] = scaler.fit_transform(df[['Year', 'Runtime']])
import pandas as pd from sklearn.preprocessing import StandardScaler