April 2016
Beginner to intermediate
384 pages
8h 36m
English
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Chapter 2. Exploring the Data
In this chapter, we will cover various techniques that will allow you to understand your data better and explore relationships between features. You will learn the following recipes:
- Producing descriptive statistics
- Exploring correlations between features
- Visualizing interactions between features
- Producing histograms
- Creating multivariate charts
- Sampling the data
- Splitting the dataset into training, cross-validation, and testing
Introduction
In the following recipes, we will use Python and D3.js to build our understanding of the data. We will analyze the distributions of all the variables, investigate the correlations between features, and visualize the interactions between them. You will learn how to generate histograms and ...
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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.