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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Answers
- B) Data understanding and preparation
- B) Higher frequency often indicates strong engagement with the healthcare provider.
- C) Elbow Method
- C) The average spend per transaction for each customer
- C) Missed Appointment Rate
- B) When future information from the target variable is included in the features
- C) Purchase Trend Calculation
- B) Use cross-validation and simplify feature complexity
- B) Clusters are well-separated and cohesive within themselves
- A) Apply feature selection or regularization techniques
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.