The most important factor for success in AI projects is data cleaning. It does not matter how advanced your algorithm is. Because if your data is wrong or incomplete, the results will also be wrong.
As Lovelytics says, the rule “garbage in, garbage out” is still true. Therefore, datasets must be accurate, complete, up-to-date, consistent, and contextual.
In this article, we will share easy-to-understand information from recent blogs about data cleaning and AI, published in the last three months.