Chapter 6:

Imputation of Missing Data, Financial Analysis, and Delivery to Client

Learning Objectives

By the end of this chapter, you will be able to:

  • Compare the results of all models built for a case study
  • Replace missing data using a range of imputation strategies
  • Build a multiclass classification model
  • Conduct financial analysis to find the optimal threshold for binary classification
  • Derive financial insight from the model to help the client guide budgeting and operational strategy
  • Deliver the model and make recommendations for usage

This chapter presents a comparison of the results from the various models built for a study, describes the financial insights derived from the final model, and outlines the final steps of the project ...

Get Data Science Projects with Python now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.