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Description
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!
About the Author
Bradford Tuckfield, PhD, is the founder of Kmbara, which solves problems using machine learning, AI, chatbots, and other data-based innovations. The author of Applied Unsupervised Learning with R, his work has also been featured in top scholarly journals, and his essays on culture and public policy can be seen in Quillette, National Affairs, and other prestigious outlets.
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