Data Transformation, Sklearn, Machine Learning, One Hot Encoding, Label Encoding.
values appropriately. Imputation techniques or dedicated encoding for missing values can be employed based on the nature of the data. 2. Scaling and Normalization: Numeric features might have different scales, impacting the performance of some algorithms. Scaling and normalization techniques, such