Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data
Authors: Alex Galea
ISBN-10: 1789532027
ISBN-13: 9781789532029
Publication Date 出版日期: 2018-06-05
Print Length 页数: 194 pages
Book Description
By finelybook
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.
Contents
1: JUPYTER FUNDAMENTALS
2: DATA CLEANING AND ADVANCED MACHINE LEARNING
3: WEB SCRAPING AND INTERACTIVE VISUALIZATIONS
What You Will Learn
Identify potential areas of investigation and perform exploratory data analysis
Plan a machine learning classification strategy and train classification models
Use validation curves and dimensionality reduction to tune and enhance your models
Scrape tabular data from web pages and transform it into Pandas DataFrames
Create interactive,web-friendly visualizations to clearly communicate your findings
Authors
Alex Galea
Alex Galea has been professionally practicing data analytics since graduating with a Master’s degree in Physics from the University of Guelph,Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics,where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks.
