November 2018
Beginner to intermediate
306 pages
7h 49m
English
Content preview from Hands-On Big Data Modeling
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Summary
In this chapter, we learned what Bitcoin data looks like and how it can be used to generate various models. In addition to that, we got a chance to use various algorithms, such as RNN in iPython Notebook, on a Bitcoin dataset to predict the price based on a timestamp.
In the next chapter, we are going to look at weather datasets and predict future weather based on a historical dataset.
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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.