May 2025
Beginner
178 pages
4h 50m
English
Content preview from Data Science Foundations
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8 PREPARATION
Preparation conjures up the image of a chef preparing a meal. For you, this might be the clinical precision in which they compose and combine the ingredients in an orderly and controlled manner, or it could be a more chaotic approach as the ingredients are thrown together in a creative maelstrom. Data preparation is not dissimilar. It is also referred to as data transformation, manipulation, conditioning and wrangling – the latter really emphasising the challenge in taming the data ready for analysis.
It is important that the data sets and the methods we use to build a model for a project are well suited to each other. If they are not aligned, then the method will fail or deliver a result with limited value. Even if the data ...
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