Data analysis without data preparation is a myth. Unless we feed the right data in a proper format, Machine Learning algorithms won't be able to solve our problem. If we give one wrong input then we end up where we started. So it's very important to understand what data preparation is and how one can do it. Data in its original form may have a lot of missing pieces or disarrangement. Through data processing, one can modify this raw information from a specific database to a format which is understandable and learnable by the machine. Mentioned below are the ways that one should prepare the data.
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This article is related to
machine learning,artificial intelligence,deep learning,data processing,ocr,text analytics,enterprise ai
machine learning,artificial intelligence,deep learning,data processing,ocr,text analytics,enterprise ai
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