Sampling With and Without Replacement: Easy Explanation for Data Scientists
In this video, we’ll be talking all about sampling. What is it, why is it useful, and how will you likely encounter sampling in your work as a Data Scientist? All things we’ll cover together! I’ll spend time differentiating sampling with and without replacement to help you leave this video with a solid understanding of how you’ll come across sampling in the real world.
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Contents of this video:
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00:00 Introduction to Sampling
00:38 Why Do We Need Sampling?
02:49 What Is Sampling?
03:54 Sampling With Replacement
04:34 Sampling Without Replacement
06:28 To Summarize
Пікірлер: 7
Looking forward to your next video! Interesting.
Very nice
Thank you!
Looking forward to the sampling methods!
Hello miss in order words the larger data set from which we do our sampling can also be called a « sampling frame? » Thanks for your videos
Hello Miss, For what size N (of the population) do we think the population size is large enough for us to not make a distinction between sampling with/without replacement ?
@jennychuks
11 ай бұрын
😅😅😅