Learn what a Jupyter Notebook is and why it's useful for data analysis
Use Jupyter Notebook features
Study Python data science libraries
Perform simple exploratory data analysis

Beginning Data Science with Python and Jupyter
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Beginning Data Science with Python and Jupyter
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Overview of this book
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 (7 chapters)
Beginning Data Science with Python and Jupyter
Contributors
Preface
Jupyter Fundamentals
Data Cleaning and Advanced Machine Learning
Web Scraping and Interactive Visualizations
Index
Customer Reviews