Sampling Methods
Explore different sampling methods used in data science to select representative subsets from populations. Understand how random and stratified sampling work and why they are important for building accurate predictive models and conducting data analysis.
We'll cover the following...
Sampling methods
Sampling methods help us select a subset of a population effectively, allowing us to draw inferences about the entire population from a sample. It is widely used in data science to choose a good representation of the data. Knowledge of the sampling methods is critical in building descriptive and predictive systems. In this lesson, we’ll look at the commonly used sampling methods in detail.
Random sampling
As the name suggests, we randomly choose elements for our sample from the population. The sample size is defined at the beginning. Each of the data elements from the population has an equal probability of being selected. Each of the ...