Summary
In this chapter, we learned how to create a simple linear regression model followed by multiple regressions, where there was an initial inspection analysis done on the data in order to understand it. We then created regression models using the statsmodels and SciKit package.
In the next chapter, we'll learn how to perform the probability scoring of an event that takes place using logistic regression.
Get Mastering Python for Data Science now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
