In this chapter, we discussed two important concepts: hypothesis testing and regression analysis. In hypothesis testing, we learned about the hypothesis, its basic principles, and different types of hypothesis testing, and we used two different Python libraries (statsmodels and SciPy) to create different hypothesis tests. Moreover, we discussed p-hacking, which is one of the most commonly encountered challenges during hypothetical testing. Next, we discussed different types of regression, and we used scikit-learn to build, test, and evaluate some regression models.
In the next chapter, we are going to discuss model development and evaluation in more detail. We will be discussing several other types of models that we can use besides regression.
