3 Main Types of Missing Data | Do THIS Before Handling Missing Values!
#ai #ml #datascience #data #machinelearning #artificialintelligence
๐ฅ This video covers the three main types of missing values: missing completely at random, missing at random and missing not at random. Before moving to the missing value handling step, you need to understand where are the values in the dataset? Why they disappeared?
You can proceed to the missing value handling after understanding the statistical effect of the missing data points on your analysis. What if you mistakenly delete an important information which can lead to an underestimation? We bring valuable examples to cleaโฆ
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Chapters (7)
Introduction.
0:28
In this video...
0:34
Types of missing data.
0:42
Missing Completely at Random.
1:26
Missing at Random.
2:03
Missing Not at Random.
2:47
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