PDF Drive offered in: English »

Data Mining With Rattle and R

395 страницы · 2012 · 10.83 MB · английский

Похожие бесплатные электронные книги

Data Visualization and Exploration with R A Practical Guide to Using R RStudio and Tidyverse for Data Visualization Exploration and Data Science Applications

238 страницы·2018·20.77 MB·новый!

and optimization of decisions and strategy. R has become the preferred software for data science, thanks ...
Introduction to R Data Mining.(Rattle)

320 страницы·2015·14.13 MB

Started with Rattle. ▻ 2. Working with Data. ▻ 3. Loading Introduction to R Data Minin ...

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

577 страницы·2017·25.26 MB·новый!

What Is Business Analytics? . Using R for Data Mining on a Local Machine . Data Mining< ...

Data Science for Business: What you need to know about data mining and data-analytic thinking

409 страницы·2013·18.74 MB·новый!

helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has ...

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

369 страницы·2017·6.46 MB·новый!

Discover best practices for data analysis and software development in R and start on the path ...

Big Data, Data Mining, and Machine Learning

289 страницы·2014·3.72 MB

Additional praise for Big Data, Data Mining, and. Machine Learning: Value Creation for Business ...

Statistical and Machine-Learning Data Mining, Third Edition: Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition

691 страницы·2017·7.46 MB·новый!

The third edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques ...

Mining the Social Web Data Mining Facebook Twitter LinkedIn Instagram

423 страницы·2019·29.73 MB·новый!

with this data. Mining the Social Web Data Mining Facebook Twitter LinkedIn Instagram Matt ...

Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life

279 страницы·2017·961 KB·новый!

Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Minin ...

Загрузите больше похожих файлов

Выбор редактора

Самый популярный

Образование

Искусство

биография

Бизнес и карьера

Дети и молодежь

Среда

Романы

Здоровье и фитнес

Образ жизни

Личностный рост

Политика и законы

Религия

Наука

Технология

Получите самые популярные бесплатные книги в вашем почтовом ящике

Не работает? Попробуйте еще раз

Report Быстрая загрузка Перейти к удаленному файлу

OUTPUT:

FORMAT:

Documents can only be sent to your Kindle devices from e-mail accounts that you added to your Approved Personal Document E-mail List.
To add our e-mail address ( ), visit the Personal Document Settings under Preferences tab on Amazon.

Получите самые популярные бесплатные книги в вашем почтовом ящике

What's the problem with this file?

Promotional spam Copyrighted material Offensive language or threatening Something else

Компания

Около
Приложение
Условия и Конфиденциальность

Социальное

жертвовать

Помогите

Связаться с нами
Обратная связь
DMCA

Data Mining With Rattle and R

Data Visualization and Exploration with R A Practical Guide to Using R RStudio and Tidyverse for Data Visualization Exploration and Data Science Applications

Introduction to R Data Mining.(Rattle)

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

Data Science for Business: What you need to know about data mining and data-analytic thinking

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Big Data, Data Mining, and Machine Learning

Statistical and Machine-Learning Data Mining, Third Edition: Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition

Mining the Social Web Data Mining Facebook Twitter LinkedIn Instagram

Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life