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Understanding Types of Missing Data: MCAR, MAR, and MNAR #datascience #dataanalysis
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Understanding Types of Missing Data: MCAR, MAR, and MNAR #datascience #dataanalysis
0:00 Introduction
0:19 Missing Completely at Random (MCAR)
1:28 Missing at Random (MAR)
2:11 Missing Not at Random (MNAR)
In this video, we'll explore the three types of missing data: Missing Completely at Random (MCAR), Missing at Random (MAR), and Missing Not at Random (MNAR). Through examples, we'll explain the differences between these types and how they affect data analysis. We'll also provide a link to a playlist that covers how to deal with missing data using Python, both in theory and hands-on approaches.
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Follow me on
#datascience #python #machinelearning #dataanalysis #datacleaning #datapreprocessing #imputation #missingdata #pandas #bigdata #eacademy #educationalvideo
0:00 Introduction
0:19 Missing Completely at Random (MCAR)
1:28 Missing at Random (MAR)
2:11 Missing Not at Random (MNAR)
In this video, we'll explore the three types of missing data: Missing Completely at Random (MCAR), Missing at Random (MAR), and Missing Not at Random (MNAR). Through examples, we'll explain the differences between these types and how they affect data analysis. We'll also provide a link to a playlist that covers how to deal with missing data using Python, both in theory and hands-on approaches.
IF YOU GUYS WANA GIVE US FEEDBACK OR WANT TO MENTION ANYTHING THEN
Follow me on
#datascience #python #machinelearning #dataanalysis #datacleaning #datapreprocessing #imputation #missingdata #pandas #bigdata #eacademy #educationalvideo
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Understanding Types of Missing Data: MCAR, MAR, and MNAR #datascience #dataanalysis
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