A Complete Guide on Sampling Techniques for Data Science

In this guide, I will share a detailed deep-dive of what is sampling, what are sampling techniques, and the industry use cases. As you know, fundamental to Data Science is getting good quality sample data. We always derive population parameters from the sample. Our machine learning models will not yield the desired results, if the sample data we worked on does not closely represent the population. In sampling, we select a group of individuals from a target population. This group of individuals forms a sample.