Hypothesis Writing and Interpretation for Data Science Explained

Statistics is a crucial tool for data scientists. Image Source

In data science, one of the most important tools we use is statistical testing and hypothesis testing. Generally, we want to know if one measure we have is has a statistically significant effect on our target, and if it is, maybe we want to use that feature in a machine learning model. Statistical testing is an important tool we can use for feature selection, especially if we…