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Data Cleansing
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Information Technology (IT), Architecture, Social Studies
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12th Grade - University
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Hard
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The video tutorial covers the importance of data cleansing in data engineering, using examples from wind farms to illustrate the impact of bad data. It explains how to identify and remove bad data using Numpy and Pandas, including handling not-a-number values and outliers. The tutorial also demonstrates advanced filtering techniques and concludes with an overview of the next steps in data engineering, focusing on feature engineering.
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