Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science (FT Press Analytics)

Price: $79.99
(as of Dec 24,2024 18:05:03 UTC – Details)

Publisher ‏ : ‎ Pearson FT Press; 1st edition (October 1, 2014)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 448 pages
ISBN-10 ‏ : ‎ 0133892069
ISBN-13 ‏ : ‎ 978-0133892062
Item Weight ‏ : ‎ 1.97 pounds
Dimensions ‏ : ‎ 7.4 x 1.35 x 9.55 inches

Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science (FT Press Analytics)

Predictive analytics is a powerful tool in the world of data science, allowing businesses to make informed decisions based on data-driven insights. In this comprehensive guide, we will explore the modeling techniques used in predictive analytics with two popular programming languages: Python and R.

Python and R are both widely used in the field of data science for their versatility, ease of use, and extensive libraries for machine learning and predictive modeling. This book will cover the various modeling techniques that can be implemented in both Python and R, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks.

Through practical examples and hands-on exercises, you will learn how to build, evaluate, and deploy predictive models using Python and R. You will also learn how to preprocess data, handle missing values, perform feature engineering, and tune hyperparameters to optimize model performance.

Whether you are a beginner in the field of data science or an experienced practitioner looking to expand your skillset, this book will provide you with the knowledge and tools you need to excel in predictive analytics with Python and R. Don’t miss out on this essential guide to mastering the art of data science modeling techniques.
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