May 2024
Beginner to intermediate
360 pages
9h 2m
English
Content preview from Predictive Analytics for the Modern Enterprise
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Chapter 5. Python and scikit-learn for Predictive Analytics
We started our journey with a brief history of data analytics. We discussed the importance of predictive analytics in the modern enterprise, and we covered some industry use cases to appreciate the real-world implications of its implementation. We then took a slightly deep dive into the statistics and mathematics behind different predictive analytics algorithms (if you are a diver, you can think of that as a 10-meter dive rather than a 100-meter deep sea exploration). I am a big proponent of strong foundations. I believe that once you have a strong grasp of the foundation, you can learn and understand the details much more easily, even though they can evolve over time. Now that we have the analytics foundation established, in this chapter we will get our hands dirty with some actual predictions.
Anaconda and Jupyter Notebooks
This is a hands-on chapter. If you are a data science professional or student, the content should be familiar to you. However, even if you are new to data science, the material and sample code should be clear enough for you to understand, so long as you have a basic grasp of computer programming.
We’ll need a few prerequisites in place before we begin. These are shown in Table 5-1.
| Serial # | Name | Description | Version used in this chapter | URL |
|---|---|---|---|---|
| 1 | Python | Python is a high-level programming language used heavily in data science. | V3.9.13 | https://www.python.org |
| 2 | Anaconda ... |
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.