Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle

Appendix: Additional Resources

In the preceding chapters, our focus was on elements specific to a particular topic in machine learning. In this appendix, however, we have stitched together some More-interesting topics that may be useful in day-to-day operations. We include a brief overview of other topics and concepts that we have not covered.

Hypothesis Testing

A hypothesis is a claim or assertion that can be tested. Based on hypothesis testing, we can either reject or leave unchallenged a particular statement. This may be more intuitive with an example. Our example claim can be that those who eat breakfast are less prone to diabetes than those who don’t eat breakfast. Another example could be that the churn rate of the population who receive ...