Different types of probability sampling methods?

jitendra kasaudhan
Nov 1 · 2 min read

Basically sampling method refers to the way where observations are selected from the large population to create a sample for a sample survey or experiment. While solving some problems in a data science, we might be in dilemma regarding which data to pickup from the population to train your model. Therefore following methods can be handy to decide which sampling techniques to use based on your problem.

  1. Stratified sampling
  2. Cluster sampling
  3. Systematic sampling

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jitendra kasaudhan

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#JavaScriptDeveloper #AngularDeveloper #NodeJSDeveloper

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