Data is frequently compared to oil because of its immense value, but just like crude oil, raw data must be refined before it becomes useful. In its original form, data is often messy, unstructured, and incomplete. Before building analytical models or applying machine learning algorithms, it is essential to prepare and organize the dataset properly. This preparation process is called data...
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