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What is the role of preprocessing of data in machine learning? Why it is needed?

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By Team EasyExamNotes

Ans. Preprocessing of data in machine learning is the technique of preparing (cleaning and organizing) the raw data to make it suitable for a building and training Machine Learning models.

Data preprocessing is essential before its actual use. Data preprocessing is the concept of changing the raw data into a clean data set. The dataset is preprocessed in order to check missing values, noisy data, and other inconsistencies before executing it to the algorithm.

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