Best practices in the training sets generation stage

With well-prepared data, it is safe to move on with the training sets generation stage. Typical tasks in this stage can be summarized into two major categories: data preprocessing and feature engineering.

To begin, data preprocessing usually involves categorical feature encoding, feature scaling, feature selection, and dimensionality reduction.

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