Data Transformation, Sklearn, Machine Learning, One Hot Encoding, Label Encoding.
trans = KBinsDiscretizer(n_bins=10, encode='ordinal', strategy='uniform') # transform the data X_discrete = trans.fit_transform(X) # summarize data after the transform print(X_discrete[:3, :]) Section 7-Challenges and Best Practices: 1. Handling Missing Data: Data encoding must address missing