We acquired the capability to build the logistic as well as linear regression models. You also learned to evaluate the model internally on the given dataset by randomly splitting them into two different datasets, read the output of the models, make business interpretations, and some really important techniques that can be used to improve the accuracy of the model. Most importantly, you learned the scenarios in which these algorithms can be of use to us.
In the next chapter, we will cover the forecasting based on the time series data, which can be really helpful in predicting sales, and help us plan accordingly.