Python for Data Analysis (Murach) |
Monday, 06 September 2021 | |||
This book shows how to do data analysis using techniques and tools including descriptive analysis, the use of Pandas to analyze the data and Seaborn to create visualizations that present your findings effectively. Scott McCoy shows how to get started with predictive analysis, using Scikit-learn with linear regression models. McCoy illustrates the concepts using four real-world case studies in political, environmental, social, and sports analytics. <ASIN: 1943872767>
Author: Scott McCoy For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section. For more Book Watch just click. Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed. To have new titles included in Book Watch contact BookWatch@i-programmer.info Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
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