January 2025
Intermediate to advanced
436 pages
11h 10m
English
Content preview from Feature Engineering for Modern Machine Learning with Scikit-LearnBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 2: Feature Engineering for Predictive Models
Feature engineering is a crucial process that transforms raw data into meaningful features, significantly enhancing a model's performance and accuracy. This intricate process demands a comprehensive understanding of the domain, a meticulous examination of the data, and a laser-focused approach to the problem at hand.
In this chapter, we delve deep into the sophisticated techniques employed to craft powerful features for predictive models, drawing upon diverse examples from a wide array of fields to illustrate their practical applications and potential impact.
Our initial example zeroes in on the healthcare sector, specifically addressing the critical issue of customer churn prediction. This particular ...
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