More Data Mining with R [2016, ENG] torrent

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More Data Mining with R
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Год выпуска: 2016
Производитель: Udemy
Сайт производителя: https://www.udemy.com/
Продолжительность: 10:30:30
Тип раздаваемого материала: Видеоурок
Язык: Английский
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Описание: Как выполнить анализ потребительской корзины, анализ социальных сетей, данных о минных Twitter, текст и данные временных рядов.
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More Data Mining with R presents a comprehensive overview of a myriad of contemporary data mining techniques. More Data Mining with R is the logical follow-on course to the preceding Udemy course More Data Mining with R: Go from Beginner to Advanced although it is not necessary to take these courses in sequential order. Both courses examine and explain a number of data mining methods and techniques, using concrete data mining modeling examples, extended case studies, and real data sets. Whereas the preceding More Data Mining with R: Go from Beginner to Advanced course focuses on: (1) linear, logistic and local polynomial regression; (2) decision, classification and regression trees (CART); (3) random forests; and (4) cluster analysis techniques, this course, More Data Mining with R presents detailed instruction and plentiful "hands-on" examples about: (1) association analysis (or market basket analysis) and creating, mining and interpreting association rules using several case examples; (2) network analysis, including the versatile iGraph visualization capabilities, as well as social network data mining analysis cases (marriage and power; friendship links); (3) text mining using Twitter data and word clouds; (4) text and string manipulation, including the use of 'regular expressions'; (5) time series data mining and analysis, including an extended case study forecasting house price indices in Canberra, Australia.
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├── 01 Introduction to R and to Data Mining
│ ├── 001 Welcome to More Data Mining with R .mp4
│ ├── 002 Course Preliminaries.mp4
│ ├── 003 Data Input and Output part 1.mp4
│ ├── 004 Data Input and Output part 2.mp4
│ ├── 005 More R Scripting and Visualizations part 1.mp4
│ ├── 006 More R Scripting and Visualizations part 2.mp4
│ ├── 007 More Input and Output part 1.mp4
│ ├── 008 More Input and Output part 2.mp4
│ └── 009 Homework Exercise Execute Second Set of Scripts on your Own.mp4
├── 02 Association Analysis part 1
│ ├── 001 Introduction to Association Analysis part 1.mp4
│ ├── 002 Introduction to Association Analysis part 2.mp4
│ ├── 003 Preparing the Titanic Dataset.mp4
│ ├── 004 Rule Mining with Titanic Dataset part 1.mp4
│ ├── 005 Rule Mining with Titanic Dataset part 2.mp4
│ ├── 006 Interpreting Rules.mp4
│ ├── 007 Visualizing Association Rules part 1.mp4
│ └── 008 Visualizing Association Rules part 2.mp4
├── 03 Association Analysis Online Radio and Predicting Income
│ ├── 001 Association Rules and Lift Reviewed.mp4
│ ├── 002 Association Rules Reviewed part 2.mp4
│ ├── 003 Online Radio Predictor Example part 1.mp4
│ ├── 004 Online Radio Predictor Example part 2.mp4
│ ├── 005 Predicting Income Example part 1.mp4
│ ├── 006 Predicting Income Example part 2.mp4
│ └── 007 Predicting Income Example part 3.mp4
├── 04 Social Network Analysis iGraph Visualizations
│ ├── 001 Introduction to iGraph.mp4
│ ├── 002 iGraph Visualization Examples part 1.mp4
│ ├── 003 iGraph Visualization Examples part 2.mp4
│ ├── 004 iGraph Measurement Examples part 3.mp4
│ ├── 005 iGraph Measurement Examples part 4.mp4
│ ├── 006 iGraph Visualization Examples part 5.mp4
│ ├── 007 iGraph Visualization Examples part 6.mp4
│ └── 008 iGraph Visualization Examples part 7.mp4
├── 05 Social Network Analysis part 2
│ ├── 001 Visual Network Basics Revisited.mp4
│ ├── 002 Visual Network Marriage and Power in 15th Century Florence part 1.mp4
│ ├── 003 Visual Network Marriage and Power in 15th Century Florence part 2.mp4
│ ├── 004 Example Friendship Network part 1.mp4
│ ├── 005 Example Friendship Network part 2.mp4
│ └── 006 Example Friendship Network part 3.mp4
├── 06 Text Mining Twitter Data
│ ├── 001 Preprocessing Twitter Data.mp4
│ ├── 002 Transforming Twitter Data.mp4
│ ├── 003 Stemming and Frequency Counts.mp4
│ ├── 004 Building a Text Term Document.mp4
│ ├── 005 Frequent Terms and Associations.mp4
│ ├── 006 Word Cloud and Word Clustering.mp4
│ ├── 007 K-Means and K-Medoids Clustering.mp4
│ ├── 008 Using Lists for Text Processing part 1.mp4
│ ├── 009 Using Lists for Text Processing part 2.mp4
│ └── 010 Using Lists for Text Processing part 3.mp4
├── 07 Text String Manipulation
│ ├── 001 Introduction to String Manipulation slides, part 1.mp4
│ ├── 002 Introduction to String Manipulation slides, part 2.mp4
│ ├── 003 Text and String Manipulation Script Demos part 1.mp4
│ ├── 004 Text and String Manipulation Demos part 2.mp4
│ ├── 005 Text and String Manipulation Demos part 3.mp4
│ ├── 006 Text and String Manipulation Demos part 4.mp4
│ ├── 007 Regular Expression Basics slides and script.mp4
│ └── 008 More Advanced Regular Expression Capabilities slides and script.mp4
├── 08 Time Series Data Mining
│ ├── 001 Maine Unemployment Data part 1.mp4
│ ├── 002 Maine Unemployment Data part 2.mp4
│ ├── 003 Airline Travel Example.mp4
│ ├── 004 Electric Consumption in Australia part 1.mp4
│ ├── 005 Electric Consumption in Australia part 2.mp4
│ ├── 006 Time Series Clustering part 1.mp4
│ ├── 007 Time Series Clustering part 2.mp4
│ └── 008 Time Series Classification.mp4
└── 09 Case Study Forecasting House Price Indices in Canberra, Australia
├── 001 Forecasting House Prices Exploring the Data part 1.mp4
├── 002 Forecasting House Prices Exploring the Data part 2.mp4
└── 003 Forecast House Prices Use Trend and Seasonal Components.mp4
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Файлы примеров: отсутствуют
Формат видео: MP4
Видео : AVC, 1280x720 (16:9), 30.000 fps, ~559 Kbps avg, 0.020 bit/pixel
Аудио: 44.1 KHz, AAC LC, 2 ch, ~60.9 Kbps
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