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Can I read Statistics Slam Dunk: Statistical analysis with R on real NBA data on EtoBox?
Statistics Slam Dunk: Statistical analysis with R on real NBA data by Gary Sutton is a nonfiction available to read on EtoBox.
What is Statistics Slam Dunk: Statistical analysis with R on real NBA data about?
Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. In Statistics Slam Dunk you’ll develop a toolbox of R data skills including Reading and writing data Installing and loading packages Transforming, tidying, and wrangling data Applying best-in-class exploratory data analysis techniques Creating compelling visualizations Developing supervised and unsupervised machine learning algorithms Execute hypothesis tests, including t-tests and chi-square tests for independence Compute expected values, Gini coefficients, and z-scores Statistics Slam Dunk upgrades your R data science skills by taking on practical analysis challenges based on NBA game and player data. Is losing games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Each chapter in this one-of-a-kind guide uses new data science techniques to reveal interesting insights like these. And just like in the real world, you’ll get no clean pre-packaged datasets in Statistics Slam Dunk. You’ll take on the challenge of w
Who reads Statistics Slam Dunk: Statistical analysis with R on real NBA data?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Gary Sutton
- Publisher
- Manning Publications Co. LLC
- Published
- 2024
- Language
- EN
- ISBN
- 9781633438682
- Category
- nonfiction
- Subjects
- Computer Science, Stem
Other editions & translations
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