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Machine Learning with R Cookbook - Second Edition [electronic resource] Analyze data and build predictive models. 2nd ed
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | Machine Learning with R Cookbook - Second Edition : Analyze data and build predictive models. [electronic resource]. |
| 개인저자 | Bhatia, AshishSingh. Chiu, Yu-Wei (David), |
| 판사항 | 2nd ed. |
| 발행사항 | Birmingham: Packt Publishing, 2017. |
| 형태사항 | 1 online resource (564 pages). |
| 기타형태 저록 | Print version: Bhatia, AshishSingh. Machine Learning with R Cookbook - Second Edition : Analyze data and build predictive models. Birmingham : Packt Publishing, ©2017 9781787284395 |
| ISBN | 9781787287808 1787287807 |
| 일반주기 |
""Chapter 4: R and Statistics""
|
| 내용주기 | ""Cover""; ""Copyright""; ""Credits""; ""About the Authors""; ""About the Reviewers""; ""www.PacktPub.com""; ""Customer Feedback""; ""Table of Contents""; ""Preface""; ""Chapter 1: Practical Machine Learning with R""; ""Introduction""; ""Downloading and installing R""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Downloading and installing RStudio""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Installing and loading packages""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also"" ""Understanding of basic data structures""""Data types""; ""Data structures""; ""Vectors""; ""How to do it ... ""; ""How it works ... ""; ""Lists""; ""How to do it ... ""; ""How it works ... ""; ""Array""; ""How to do it ... ""; ""How it works ... ""; ""Matrix""; ""How to do it ... ""; ""DataFrame""; ""How to do it ... ""; ""Basic commands for subsetting""; ""How to do it ... ""; ""Data input""; ""Reading and writing data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Manipulating data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... "" ""Applying basic statistics""""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Visualizing data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Getting a dataset for machine learning""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Chapter 2: Data Exploration with Air Quality Datasets""; ""Introduction""; ""Using air quality dataset""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Converting attributes to factor""; ""Getting ready""; ""How to do it ... "" ""How it works ... """"There's more ... ""; ""Detecting missing values""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Imputing missing values""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""Exploring and visualizing data""; ""Getting ready""; ""How to do it ... ""; ""Predicting values from datasets""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""Chapter 3: Analyzing Time Series Data""; ""Introduction""; ""Looking at time series data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also"" ""Plotting and forecasting time series data""""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Extracting, subsetting, merging, filling, and padding""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Successive differences and moving averages""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Exponential smoothing""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Plotting the autocorrelation function""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also"" |
| 요약 | Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code. |
| 일반주제명 | R. Mathematical statistics --Data processing. Mathematical statistics --Data processing. MATHEMATICS / Applied. MATHEMATICS / Probability & Statistics / General. |
| 언어 | 영어 |
| 바로가기 |  |
