NCA-GENL - Data Analysis and Visualization - Section 4.4

Apply essential machine learning techniques for data preparation.

Apply essential data preparation techniques including handling missing values, feature scaling, categorical encoding, and train-validation-test splitting to produce clean, model-ready datasets. Understand how poor data preparation introduces bias or data leakage, and recognise the steps that must occur before training begins.

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