Sampling Methods
Explore different sampling methods such as random and stratified sampling to understand how to select representative subsets of data. This lesson helps you grasp techniques crucial for creating balanced training, validation, and test datasets and drawing reliable inferences from samples.
We'll cover the following...
Sampling methods
The sampling methods help us to choose a subset of the population in a good manner which helps us to draw inference about the whole population using 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 will be looking 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 ...