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Insights from Data with R

posed. There are an additional three demonstrations online! Insights from Data with R is suitable for undergraduate students and their;

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Insights from Data with R

posed. There are an additional three demonstrations online! Insights from Data with R is suitable for undergraduate students and their;

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R for Data Analysis in easy steps

visualizations to gain insights from gathered data. R for Data Analysis in easy steps begins by explaining core programming principles of the;

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Learning Social Media Analytics with R

with a keen interest in data, analytics, and generating insights from social data. Some background experience in R would be helpful, but not;

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Data Science

Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and;

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R Data Analysis Cookbook -

packages like ggplot2 with ready-to-use and customizable recipes * Find meaningful insights from your data and generate dynamic reports * A;

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Hands-On Data Science with R

Use R for efficient data mining, text analytics and feature engineering Become a thorough data science professional with the help of hands-on;

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SQL Server 2017 Machine Learning Services with R

Server 2017 to build efficient, cost-effective data science solutions Leverage the capabilities of R Services to perform advanced analytics-from;

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Machine Learning with R

quickly and easily gain insight from your data. Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine;

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Hands-On Time Series Analysis with R

series analysis with R and lays the foundations you need to build forecasting models. You will learn how to preprocess raw time series data and;

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Data Science with SQL Server Quick Start Guide

Get unique insights from your data by combining the power of SQL Server, R and Python Key Features Use the features of SQL Server 2017 to;

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R 4 Data Science Quick Reference

In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All;

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Machine Learning with R Cookbook

If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless;

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R 4 Data Science Quick Reference

In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them;

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R Data Mining

Mine valuable insights from your data using popular tools and techniques in R About This Book * Understand the basics of data mining;

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R Data Science Quick Reference

Write functions with R for data science, data mining, and analytics-based applications Visualize data with ggplot2 and fit data to models using;

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Machine Learning with R, tidyverse, and mlr

Machine Learning with R, tidyverse, and mlr teaches readers how to gain valuable insights from their data using the powerful R programming;

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Simulation for Data Science with R

Harness actionable insights from your data with computational statistics and simulations using R About This Book * Learn five;

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Programming Skills for Data Science

data science environment, including R and RStudio Manage projects efficiently, from version tracking to documentation Host, manage, and;

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Mastering Data Analysis With R

Gain sharp insights into your data and solve real-world data science problems with R-from data munging to modeling and visualization;

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R Machine Learning By Example

system with this example-based practical guide Who This Book Is For If you are interested in mining useful information from data using;

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Practical Data Science Cookbook -

of situations with examples using the two most popular programming languages for data analysis-R and Python. Style and approach This step-by-step;

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R

will show you ways to use R to generate professional analysis reports. We'll then move on to visualizing our data - this provides you with all;

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Introducing Microsoft LINQ

Microsoft Visual Basic(r) programming languages. Instead of traversing different language syntaxes required for accessing data from relational and;

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Spatial Analysis with R

, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth;

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Hands-On Exploratory Data Analysis with R

Discover and practice graphical exploratory analysis techniques across domains Book DescriptionHands-On Exploratory Data Analysis with R will;

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Mastering Machine Learning with R

Machine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R-a cross-platform;

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