PDF/EPUB Download Dive Into Data Science: Use Python To Tackle Your Toughest Bus

06 November 2024

Views: 30

Book Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges PDF Download - Bradford Tuckfield

Download ebook ➡ http://ebooksharez.info/pl/book/674884/1040

Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges
Bradford Tuckfield
Page: 288
Format: pdf, ePub, mobi, fb2
ISBN: 9781718502888
Publisher: No Starch Press

Download or Read Online Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges Free Book (PDF ePub Mobi) by Bradford Tuckfield
Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges Bradford Tuckfield PDF, Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges Bradford Tuckfield Epub, Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges Bradford Tuckfield Read Online, Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges Bradford Tuckfield Audiobook, Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges Bradford Tuckfield VK, Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges Bradford Tuckfield Kindle, Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges Bradford Tuckfield Epub VK, Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges Bradford Tuckfield Free Download

Overview
Learn how to use data science and Python to solve everyday business problems.

Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.

With only a basic understanding of Python and high school math, you’ll be able to effortlessly work through the book and start implementing data science in your day-to-day work. From improving a bike sharing company to extracting data from websites and creating recommendation systems, you’ll discover how to find and use data-driven solutions to make business decisions.

Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms.

You’ll also learn how to:
Forecast consumer demand Optimize marketing campaigns Reduce customer attrition Predict website traffic Build recommendation systems
With this practical guide at your fingertips, harness the power of programming, mathematical theory, and good old common sense to find data-driven solutions that make a difference. Don’t wait; dive right in!

Share