23 OCT 2025 - We are back! If you have been following us over the last few years, you will know that the last 2 months have been rough. We website was practically not loading. Sorry for the mess. We are back though and everything should run smoothly now. New servers. Updated domains. And new owners. We invite you all to start uploading torrents again!
TORRENT DETAILS
[NulledPremium Com] Data Science Using Python
TORRENT SUMMARY
Status:
All the torrents in this section have been verified by our verification system
For More Ebooks Visit NulledPremium >>> NulledPremium.com
Book details
File Size: 15 MB
Format: epub
Print Length: 240 pages
Publisher: Wiley; 1 edition (March 21, 2019)
Publication Date: March 21, 2019
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07NQZF8W2
Learn data science by doing data science!
Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R.
Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques.
Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R.
Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining.
Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars.
Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets.
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
Data Science Using Python and R - Chantal D Larose.epub
15 MB
Websites you may like/How you can help Team-FTU.txt