R Programming Hands-on Specialization for Data Science (Lv1)

磁力链接/BT种子名称

R Programming Hands-on Specialization for Data Science (Lv1)

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种子哈希：8b296c887c3ad0034b221a464609fc41c359c99e
文件大小： 1.03G
已经下载：428次
下载速度：极快
收录时间：2021-04-18
最近下载：2024-12-31

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文件列表

  • 9. Data Science Application in R - Automated Web Scraping Bot/2. Web Scraping - One Simple yet Powerful Way to do so!.mp4 35.4 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/34. Advanced Data Frames Manipulation.mp4 35.3 MB
  • 7. R Data Structure - Data Frames/6. Data Frames - Everything you need to know about Subsetting.mp4 31.0 MB
  • 7. R Data Structure - Data Frames/8. Data Frames - Imputing Missing Values like Pros!.mp4 29.7 MB
  • 2. R Fundamentals/3. R Basics - Working Directory, Environment Variables and more!.mp4 28.9 MB
  • 7. R Data Structure - Data Frames/9. Data Frames - Advanced Subsetting Techniques for robust analytics.mp4 27.0 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/33. Advanced Data Munging - Discretizing Continuous Values.mp4 26.9 MB
  • 7. R Data Structure - Data Frames/2. Data Frames - Creation and important functions for Basic Exploratory Analysis.mp4 26.4 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/3. Web Scraping - Use Case Custom Churn Analysis.mp4 26.2 MB
  • 5. R Data Structure - Matrices/3. Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit).mp4 25.3 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/1. Web Scraping - Setting Context + Highlighting Use-Cases.mp4 25.2 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/6. Use Case Custom Churn - Performing Data Cleansing.mp4 24.9 MB
  • 4. R Data Structure - Vectors/1. Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!.mp4 24.6 MB
  • 1. Introduction/2. Why you should learn R.mp4 24.0 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/23. Systematic analysis of website for efficient Scraping.mp4 23.2 MB
  • 8. R Control Structures/2. For Loops in R - Intro and Practical Use-Cases.mp4 23.1 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/35. Orchestrating Automation of Web Scraping Routine.mp4 22.4 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/8. Web Scraping - Contextual Understanding of HTML Tags.mp4 21.9 MB
  • 7. R Data Structure - Data Frames/7. Data Frames - Handling Missing Values like Pros!.mp4 21.4 MB
  • 4. R Data Structure - Vectors/3. Vectors - Understanding Indexing like never before!.mp4 20.7 MB
  • 4. R Data Structure - Vectors/4. Vectors - Indexing (Out of Bound scenarios) and How Pros use it!.mp4 20.2 MB
  • 7. R Data Structure - Data Frames/1. Data Frames - Introducing The holy grail of processing Structured Data.mp4 19.6 MB
  • 8. R Control Structures/4. If Else Structures in R (2).mp4 19.1 MB
  • 3. R Data Types/1. R Atomic Data Types Intro - What you must know about Numeric and Integers in R.mp4 18.6 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/11. Web Scraping on Steroids - XPath in R!.mp4 18.5 MB
  • 5. R Data Structure - Matrices/1. Matrices - Getting Acquainted, Creation and its operational functions!.mp4 18.5 MB
  • 7. R Data Structure - Data Frames/3. Data Frames - More Important Functions for Basic Exploratory Analysis.mp4 18.0 MB
  • 4. R Data Structure - Vectors/6. Vectors - Labels and their Advanced Usage in Indexing.mp4 17.4 MB
  • 3. R Data Types/7. Atomic Data Types and Nuances in Coercioning (ExplicitImplicit).mp4 16.9 MB
  • 6. R Data Structure - Lists/7. List - Advanced Indexing also using Labels.mp4 16.6 MB
  • 1. Introduction/3. What you will learn in this course.mp4 15.6 MB
  • 5. R Data Structure - Matrices/7. Matrices - Even more Advanced Indexing!.mp4 14.6 MB
  • 3. R Data Types/5. Character Data Type (Atomic) + Important Data Transformation Functions (3).mp4 14.5 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/22. Web Scraping Pipeline - Deep dive of workflow pattern.mp4 14.4 MB
  • 2. R Fundamentals/1. Installing R (console) and RStudio (IDE).mp4 14.3 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/25. Starting Selenium Server - The right way!.mp4 13.6 MB
  • 2. R Fundamentals/4. R Basics - Loading and Executing R scripts from local file system.mp4 12.3 MB
  • 5. R Data Structure - Matrices/2. Matrices - Creation and Implications related to its Dimensions.mp4 12.3 MB
  • 6. R Data Structure - Lists/1. Lists - Getting Introduced to one of the most powerful data structures in R.mp4 12.0 MB
  • 5. R Data Structure - Matrices/8. Matrices - Operations!.mp4 11.9 MB
  • 6. R Data Structure - Lists/6. Lists - Nuances in Determining Length and Class of Elements.mp4 11.9 MB
  • 4. R Data Structure - Vectors/2. Vectors - Comparing different ways to create vectors in R!.mp4 11.8 MB
  • 4. R Data Structure - Vectors/5. Vectors - Flatness property and its critical implications in Indexing!.mp4 11.3 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/18. Automated Web Scraping - Initialising RSelenium Server.mp4 11.2 MB
  • 4. R Data Structure - Vectors/7. Vectors - Assigning Attributes and its use-case as Metadata.mp4 11.1 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/21. Web Scraping Use Case Context Setting.mp4 11.1 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/7. Web Scraping - Contextual understanding of HTML.mp4 11.0 MB
  • 8. R Control Structures/1. While Loops in R.mp4 10.5 MB
  • 6. R Data Structure - Lists/8. List - Comparison of Indexing ways and Implications.mp4 10.3 MB
  • 3. R Data Types/2. Complex and Character Data Types (Atomic).mp4 10.1 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/24. Installing and Loading RSelenium.mp4 10.0 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/17. Automated Web Scraping - installing RSelenium in R.mp4 9.5 MB
  • 6. R Data Structure - Lists/2. Lists - Comparing with Vectors w.r.t Heterogeneity and Introducing Indexing.mp4 9.2 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/15. Automating Web Scraping - RSelenium!.mp4 9.1 MB
  • 3. R Data Types/3. Character Data Type (Atomic) + Important Data Transformation Functions (1).mp4 8.9 MB
  • 6. R Data Structure - Lists/4. Lists - Converting to and from Vectors and implications (coercion, flatness).mp4 8.9 MB
  • 8. R Control Structures/3. If Else Structures in R.mp4 8.8 MB
  • 3. R Data Types/6. Logical Data Type (Atomic) and Its known Implications.mp4 8.7 MB
  • 6. R Data Structure - Lists/5. Lists - Nuances in Determining Length in the context of Recursiveness.mp4 8.4 MB
  • 5. R Data Structure - Matrices/6. Matrices - Advanced Indexing using DimensionNames.mp4 8.2 MB
  • 5. R Data Structure - Matrices/4. Matrices - Dimensions (Advanced) and Intro to Indexing.mp4 8.0 MB
  • 3. R Data Types/4. Character Data Type (Atomic) + Important Data Transformation Functions (2).mp4 7.2 MB
  • 6. R Data Structure - Lists/3. Lists - Comprehending their Recursive Nature in comparison with Vectors.mp4 7.0 MB
  • 5. R Data Structure - Matrices/5. Matrices - Indexing Continued.mp4 6.9 MB
  • 8. R Control Structures/5. If Else Structures in R (3).mp4 6.5 MB
  • 7. R Data Structure - Data Frames/5. Data Frames - Creation from Lists, Matrices and Vectors.mp4 6.3 MB
  • 1. Introduction/1. Warm Welcome!.mp4 5.6 MB
  • 7. R Data Structure - Data Frames/4. Data Frames - Creation from Lists.mp4 4.0 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/26. Handling RSelenium's Driver Issues.mp4 3.8 MB
  • 2. R Fundamentals/2. Getting to know R - Setting Context.mp4 3.8 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/12. Web Scraping on Steroids - XPath in R (2).mp4 2.4 MB
  • 5. R Data Structure - Matrices/1.1 r_matrices.pdf.pdf 231.0 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/15.1 r_selenium.pdf.pdf 229.2 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/11.1 r_xpath.pdf.pdf 228.9 kB
  • 3. R Data Types/1.1 r_data_types_1.pdf.pdf 193.2 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/7.1 r_html.pdf.pdf 160.4 kB
  • 2. R Fundamentals/1.1 1_R_intro.pdf.pdf 156.3 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/1.1 r_web_scraping.pdf.pdf 148.6 kB
  • 4. R Data Structure - Vectors/1.1 r_vectors.pdf.pdf 138.7 kB
  • 7. R Data Structure - Data Frames/1.1 r_data_frames.pdf.pdf 133.6 kB
  • 6. R Data Structure - Lists/1.1 r_lists.pdf.pdf 120.9 kB
  • 7. R Data Structure - Data Frames/6. Data Frames - Everything you need to know about Subsetting.vtt 19.0 kB
  • 7. R Data Structure - Data Frames/8. Data Frames - Imputing Missing Values like Pros!.vtt 17.8 kB
  • 5. R Data Structure - Matrices/3. Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit).vtt 17.0 kB
  • 7. R Data Structure - Data Frames/2. Data Frames - Creation and important functions for Basic Exploratory Analysis.vtt 16.7 kB
  • 2. R Fundamentals/3. R Basics - Working Directory, Environment Variables and more!.vtt 15.9 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/1. Web Scraping - Setting Context + Highlighting Use-Cases.vtt 15.6 kB
  • 4. R Data Structure - Vectors/1. Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!.vtt 15.1 kB
  • 7. R Data Structure - Data Frames/9. Data Frames - Advanced Subsetting Techniques for robust analytics.vtt 15.0 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/2. Web Scraping - One Simple yet Powerful Way to do so!.vtt 14.8 kB
  • 8. R Control Structures/2. For Loops in R - Intro and Practical Use-Cases.vtt 14.0 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/34. Advanced Data Frames Manipulation.vtt 14.0 kB
  • 1. Introduction/2. Why you should learn R.vtt 13.4 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/6. Use Case Custom Churn - Performing Data Cleansing.vtt 13.3 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/8. Web Scraping - Contextual Understanding of HTML Tags.vtt 13.1 kB
  • 5. R Data Structure - Matrices/1. Matrices - Getting Acquainted, Creation and its operational functions!.vtt 13.0 kB
  • 4. R Data Structure - Vectors/4. Vectors - Indexing (Out of Bound scenarios) and How Pros use it!.vtt 12.2 kB
  • 7. R Data Structure - Data Frames/7. Data Frames - Handling Missing Values like Pros!.vtt 12.2 kB
  • 7. R Data Structure - Data Frames/1. Data Frames - Introducing The holy grail of processing Structured Data.vtt 11.6 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/33. Advanced Data Munging - Discretizing Continuous Values.vtt 11.4 kB
  • 7. R Data Structure - Data Frames/3. Data Frames - More Important Functions for Basic Exploratory Analysis.vtt 11.4 kB
  • 3. R Data Types/1. R Atomic Data Types Intro - What you must know about Numeric and Integers in R.vtt 11.3 kB
  • 4. R Data Structure - Vectors/3. Vectors - Understanding Indexing like never before!.vtt 11.2 kB
  • 3. R Data Types/7. Atomic Data Types and Nuances in Coercioning (ExplicitImplicit).vtt 11.0 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/3. Web Scraping - Use Case Custom Churn Analysis.vtt 10.7 kB
  • 8. R Control Structures/4. If Else Structures in R (2).vtt 10.5 kB
  • 1. Introduction/3. What you will learn in this course.vtt 10.2 kB
  • 6. R Data Structure - Lists/7. List - Advanced Indexing also using Labels.vtt 9.9 kB
  • 2. R Fundamentals/1. Installing R (console) and RStudio (IDE).vtt 9.7 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/22. Web Scraping Pipeline - Deep dive of workflow pattern.vtt 9.5 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/11. Web Scraping on Steroids - XPath in R!.vtt 9.4 kB
  • 4. R Data Structure - Vectors/6. Vectors - Labels and their Advanced Usage in Indexing.vtt 9.4 kB
  • 5. R Data Structure - Matrices/7. Matrices - Even more Advanced Indexing!.vtt 8.9 kB
  • 3. R Data Types/5. Character Data Type (Atomic) + Important Data Transformation Functions (3).vtt 8.9 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/35. Orchestrating Automation of Web Scraping Routine.vtt 8.9 kB
  • 5. R Data Structure - Matrices/2. Matrices - Creation and Implications related to its Dimensions.vtt 8.2 kB
  • 5. R Data Structure - Matrices/8. Matrices - Operations!.vtt 8.0 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/21. Web Scraping Use Case Context Setting.vtt 7.5 kB
  • 6. R Data Structure - Lists/6. Lists - Nuances in Determining Length and Class of Elements.vtt 7.5 kB
  • 6. R Data Structure - Lists/1. Lists - Getting Introduced to one of the most powerful data structures in R.vtt 7.5 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/18. Automated Web Scraping - Initialising RSelenium Server.vtt 7.3 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/25. Starting Selenium Server - The right way!.vtt 7.1 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/35.1 final_script_web_scraping.txt.txt 6.9 kB
  • 3. R Data Types/2. Complex and Character Data Types (Atomic).vtt 6.9 kB
  • 2. R Fundamentals/4. R Basics - Loading and Executing R scripts from local file system.vtt 6.9 kB
  • 4. R Data Structure - Vectors/2. Vectors - Comparing different ways to create vectors in R!.vtt 6.8 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/23. Systematic analysis of website for efficient Scraping.vtt 6.8 kB
  • 4. R Data Structure - Vectors/5. Vectors - Flatness property and its critical implications in Indexing!.vtt 6.8 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/17. Automated Web Scraping - installing RSelenium in R.vtt 6.7 kB
  • 8. R Control Structures/1. While Loops in R.vtt 6.5 kB
  • 4. R Data Structure - Vectors/7. Vectors - Assigning Attributes and its use-case as Metadata.vtt 6.4 kB
  • 6. R Data Structure - Lists/8. List - Comparison of Indexing ways and Implications.vtt 6.3 kB
  • 6. R Data Structure - Lists/4. Lists - Converting to and from Vectors and implications (coercion, flatness).vtt 6.3 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/15. Automating Web Scraping - RSelenium!.vtt 6.2 kB
  • 6. R Data Structure - Lists/2. Lists - Comparing with Vectors w.r.t Heterogeneity and Introducing Indexing.vtt 6.1 kB
  • 3. R Data Types/3. Character Data Type (Atomic) + Important Data Transformation Functions (1).vtt 6.0 kB
  • 8. R Control Structures/3. If Else Structures in R.vtt 5.6 kB
  • 5. R Data Structure - Matrices/6. Matrices - Advanced Indexing using DimensionNames.vtt 5.5 kB
  • 5. R Data Structure - Matrices/4. Matrices - Dimensions (Advanced) and Intro to Indexing.vtt 5.4 kB
  • 3. R Data Types/6. Logical Data Type (Atomic) and Its known Implications.vtt 5.4 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/24. Installing and Loading RSelenium.vtt 5.2 kB
  • 6. R Data Structure - Lists/5. Lists - Nuances in Determining Length in the context of Recursiveness.vtt 5.2 kB
  • 1. Introduction/1. Warm Welcome!.vtt 4.4 kB
  • 3. R Data Types/4. Character Data Type (Atomic) + Important Data Transformation Functions (2).vtt 4.4 kB
  • 8. R Control Structures/5. If Else Structures in R (3).vtt 4.2 kB
  • 6. R Data Structure - Lists/3. Lists - Comprehending their Recursive Nature in comparison with Vectors.vtt 4.2 kB
  • 5. R Data Structure - Matrices/5. Matrices - Indexing Continued.vtt 4.1 kB
  • 7. R Data Structure - Data Frames/5. Data Frames - Creation from Lists, Matrices and Vectors.vtt 4.1 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/7. Web Scraping - Contextual understanding of HTML.vtt 3.6 kB
  • 7. R Data Structure - Data Frames/4. Data Frames - Creation from Lists.vtt 2.7 kB
  • 2. R Fundamentals/2. Getting to know R - Setting Context.vtt 2.7 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/26. Handling RSelenium's Driver Issues.vtt 1.9 kB
  • 9. Data Science Application in R - Automated Web Scraping Bot/12. Web Scraping on Steroids - XPath in R (2).vtt 1.1 kB
  • ReadMe.txt 669 Bytes
  • 1. Introduction/ReadMe.txt 669 Bytes
  • Visit Getnewcourses.com.url 343 Bytes
  • Visit Freecourseit.com.url 342 Bytes
  • 2. R Fundamentals/5. Handling Working Directory.html 145 Bytes
  • 4. R Data Structure - Vectors/8. Indexing Vectors.html 145 Bytes
  • 3. R Data Types/8. Data Types Coercions.html 145 Bytes
  • 9. Data Science Application in R - Automated Web Scraping Bot/26.1 gecko_driver_download_link.txt.txt 39 Bytes

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