Dealing with noisy data binning method in data mining AI and ML tutorial for beginners #Shorts

Dealing with noisy data binning method in data mining AI and ML tutorial for beginners #Shorts

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Dealing with noisy data binning method in data mining AI and ML tutorial for beginners #Shorts
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Dealing with noisy data binning method in data mining AI and ML tutorial for beginners

In this AI and ML tutorial for beginners, you will learn Data Science and AI and ML from TeKnowledGeek.

Removing noisy data is a very important step in data cleaning in ML and data mining.

An example of noisy data is a negative value in Age Field.

In this video, we discussed the most popular technique to remove noisy data, i.e. equal frequency binning (meaning there is an equal number of data values in each bin). We then explained the technique to smooth the bin mean, median, or frontier.

Subjects:
Data Mining and Warehouse (DMW)
Data Analysis(DA)
Artificial Intelligence (AI)
Machine Learning (ML)

ML playlist: https://www.youtube.com/playlist?listPL7e7n_-0r6CG3C4e2UNCJyyDNjxYoOC49
Big Data Playlist: https://www.youtube.com/playlist?listPL7e7n_-0r6CHE7j8b-F47JZbXUEP0Zbfz
Spark playlist: https://www.youtube.com/playlist?listPL7e7n_-0r6CFKo0F3q7PNF9sS5jmsu_Hp

Channel: https://www.youtube.com/channel/UCP_DGMeapPstYWR3qF-NCIA
LinkedIn: https://www.linkedin.com/in/akshay-mukhopadhyay-b3585ba2

Tags: #Shorts #BinningMethod #NoiseInData #TeKnowledGeek #ArtificialIntelligence #MachineLearning

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