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Data Science  with Python

You're reading from   Data Science with Python Combine Python with machine learning principles to discover hidden patterns in raw data

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Product type Paperback
Published in Jul 2019
Publisher Packt
ISBN-13 9781838552862
Length 426 pages
Edition 1st Edition
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Authors (3):
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Rohan Chopra Rohan Chopra
Author Profile Icon Rohan Chopra
Rohan Chopra
Mohamed Noordeen Alaudeen Mohamed Noordeen Alaudeen
Author Profile Icon Mohamed Noordeen Alaudeen
Mohamed Noordeen Alaudeen
Aaron England Aaron England
Author Profile Icon Aaron England
Aaron England
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Toc

Table of Contents (10) Chapters Close

About the Book 1. Introduction to Data Science and Data Pre-Processing FREE CHAPTER 2. Data Visualization 3. Introduction to Machine Learning via Scikit-Learn 4. Dimensionality Reduction and Unsupervised Learning 5. Mastering Structured Data 6. Decoding Images 7. Processing Human Language 8. Tips and Tricks of the Trade 1. Appendix

Decision Trees

Imagine we are considering changing jobs. We are weighing the pros and cons of prospective job opportunities and, after a few years of being in our current position, we start to realize the things that are important to us. However, not all aspects of a career are of equal importance. In fact, after being in the job for a few years, we decide that the most important aspect of a position is our interest in the projects we will be doing, followed by compensation, then work-related stress, trailed by commute time, and, lastly, benefits. We have just created the scaffolding of a cognitive decision tree. We can go into further detail by saying that we want a job where we are very interested in the allocated projects, paying at least $55k/year, with low work-related stress, a commute of under 30 minutes, and good dental insurance. Creating mental decision trees is a decision-making process we all utilize by nature and is one of the reasons why decision trees are one of the most widely...

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