Data Preprocessing: 6 Necessary Steps for Data Scientistsby@thems18
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Data Preprocessing: 6 Necessary Steps for Data Scientists

October 27th 2020
7 min
by @thems18 131,530 reads
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Data Preprocessing: 6 Necessary Steps for Data Scientists. This is a data mining technique that involves transforming raw data into an understandable format. Real-world data is often incomplete, inconsistent, and/or lacking in certain behaviors or trends, and is likely to contain many errors. Data scientists spend most of their time on the data analytics and machine learning process. The steps in Data Preprocessions are the most popular libraries which any Data Scientist should use. We use Pandas to import our data-set and the file I used here is.csv file.

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