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If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."

However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …

Handling Missing Data with SimpleImputer - Analytics Vidhya

#artificialintelligenceOct-28-2022, 18:57:47 GMT

This article was published as a part of the Data Science Blogathon. Missing data in machine learning is a type of data that contains "None" or "NaN" type of values. One should take care of the missing data while dealing with machine learning algorithms and training. Missing data can be filled using basic python programming, pandas library, and a sci-kit learn library named SimpleImputer. Handling missing values using the sci-kit learns library SimpleImputer is the easiest and most convenient method of all the other missing data handling methods.

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Technology:

Information Technology > Data Science > Data Quality (1.00)
Information Technology > Artificial Intelligence > Machine Learning (1.00)

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