Beginning Data Science with Python and Jupyter

✍ Scribed by Alex Galea

Publisher: Packt Publishing
Year: 2018
Tongue: English
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context.

✦ Table of Contents

1 Jupyter Fundamentals
2 Data Cleaning and Advanced Machine Learning
3 Web Scraping and Interactive Visualizations
A Appendix A: Index

✦ Subjects

Statistics, Data Science, Python, Jupyter, Machine Learning

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