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Jupyter for Data Science

You're reading from   Jupyter for Data Science Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781785880070
Length 242 pages
Edition 1st Edition
Languages
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (11) Chapters Close

Preface 1. Jupyter and Data Science FREE CHAPTER 2. Working with Analytical Data on Jupyter 3. Data Visualization and Prediction 4. Data Mining and SQL Queries 5. R with Jupyter 6. Data Wrangling 7. Jupyter Dashboards 8. Statistical Modeling 9. Machine Learning Using Jupyter 10. Optimizing Jupyter Notebooks

Preface

Jupyter is an open platform that is growing in use. Jupyter can have programs written in a variety of languages. Many of these languages are geared towards data science, such as R and Python. In this book, we'll look at solving data science problems using a variety of languages on the Jupyter platform.

We will start by looking into some of the basics of Jupyter. Then we will use Jupyter as the platform for our data analysis and visualizations. We'll look into data mining, data wrangling, and machine learning, all under the auspices of the Jupyter framework.

You will learn how to use Jupyter to solve your data science problems using a suite of programming languages.

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