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R Programming Hands-on Specialization for Data Science (Lv1)
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Name:R Programming Hands-on Specialization for Data Science (Lv1)
Infohash: 8B296C887C3AD0034B221A464609FC41C359C99E
Total Size: 1.03 GB
Magnet: Magnet Download
Seeds: 1
Leechers: 0
Stream: Watch Full Movies @ LimeMovies
Last Updated: 2025-10-30 01:44:20 (Update Now)
Torrent added: 2019-11-16 12:33:30
Torrent Files List
9. Data Science Application in R - Automated Web Scraping Bot (Size: 1.03 GB) (Files: 161)
9. Data Science Application in R - Automated Web Scraping Bot
26.1 gecko_driver_download_link.txt.txt
12. Web Scraping on Steroids - XPath in R (2).vtt
26. Handling RSelenium's Driver Issues.vtt
7. Web Scraping - Contextual understanding of HTML.vtt
24. Installing and Loading RSelenium.vtt
15. Automating Web Scraping - RSelenium!.vtt
17. Automated Web Scraping - installing RSelenium in R.vtt
23. Systematic analysis of website for efficient Scraping.vtt
35.1 final_script_web_scraping.txt.txt
25. Starting Selenium Server - The right way!.vtt
18. Automated Web Scraping - Initialising RSelenium Server.vtt
21. Web Scraping Use Case Context Setting.vtt
35. Orchestrating Automation of Web Scraping Routine.vtt
11. Web Scraping on Steroids - XPath in R!.vtt
22. Web Scraping Pipeline - Deep dive of workflow pattern.vtt
3. Web Scraping - Use Case Custom Churn Analysis.vtt
33. Advanced Data Munging - Discretizing Continuous Values.vtt
8. Web Scraping - Contextual Understanding of HTML Tags.vtt
6. Use Case Custom Churn - Performing Data Cleansing.vtt
34. Advanced Data Frames Manipulation.vtt
2. Web Scraping - One Simple yet Powerful Way to do so!.vtt
1. Web Scraping - Setting Context + Highlighting Use-Cases.vtt
1.1 r_web_scraping.pdf.pdf
7.1 r_html.pdf.pdf
11.1 r_xpath.pdf.pdf
15.1 r_selenium.pdf.pdf
12. Web Scraping on Steroids - XPath in R (2).mp4
26. Handling RSelenium's Driver Issues.mp4
15. Automating Web Scraping - RSelenium!.mp4
17. Automated Web Scraping - installing RSelenium in R.mp4
24. Installing and Loading RSelenium.mp4
7. Web Scraping - Contextual understanding of HTML.mp4
21. Web Scraping Use Case Context Setting.mp4
18. Automated Web Scraping - Initialising RSelenium Server.mp4
25. Starting Selenium Server - The right way!.mp4
22. Web Scraping Pipeline - Deep dive of workflow pattern.mp4
11. Web Scraping on Steroids - XPath in R!.mp4
8. Web Scraping - Contextual Understanding of HTML Tags.mp4
35. Orchestrating Automation of Web Scraping Routine.mp4
23. Systematic analysis of website for efficient Scraping.mp4
6. Use Case Custom Churn - Performing Data Cleansing.mp4
1. Web Scraping - Setting Context + Highlighting Use-Cases.mp4
3. Web Scraping - Use Case Custom Churn Analysis.mp4
33. Advanced Data Munging - Discretizing Continuous Values.mp4
34. Advanced Data Frames Manipulation.mp4
2. Web Scraping - One Simple yet Powerful Way to do so!.mp4
2. R Fundamentals
5. Handling Working Directory.html
2. Getting to know R - Setting Context.vtt
4. R Basics - Loading and Executing R scripts from local file system.vtt
1. Installing R (console) and RStudio (IDE).vtt
3. R Basics - Working Directory, Environment Variables and more!.vtt
1.1 1_R_intro.pdf.pdf
2. Getting to know R - Setting Context.mp4
4. R Basics - Loading and Executing R scripts from local file system.mp4
1. Installing R (console) and RStudio (IDE).mp4
3. R Basics - Working Directory, Environment Variables and more!.mp4
4. R Data Structure - Vectors
8. Indexing Vectors.html
7. Vectors - Assigning Attributes and its use-case as Metadata.vtt
5. Vectors - Flatness property and its critical implications in Indexing!.vtt
2. Vectors - Comparing different ways to create vectors in R!.vtt
6. Vectors - Labels and their Advanced Usage in Indexing.vtt
3. Vectors - Understanding Indexing like never before!.vtt
4. Vectors - Indexing (Out of Bound scenarios) and How Pros use it!.vtt
1. Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!.vtt
1.1 r_vectors.pdf.pdf
7. Vectors - Assigning Attributes and its use-case as Metadata.mp4
5. Vectors - Flatness property and its critical implications in Indexing!.mp4
2. Vectors - Comparing different ways to create vectors in R!.mp4
6. Vectors - Labels and their Advanced Usage in Indexing.mp4
4. Vectors - Indexing (Out of Bound scenarios) and How Pros use it!.mp4
3. Vectors - Understanding Indexing like never before!.mp4
1. Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!.mp4
3. R Data Types
8. Data Types Coercions.html
4. Character Data Type (Atomic) + Important Data Transformation Functions (2).vtt
6. Logical Data Type (Atomic) and Its known Implications.vtt
3. Character Data Type (Atomic) + Important Data Transformation Functions (1).vtt
2. Complex and Character Data Types (Atomic).vtt
5. Character Data Type (Atomic) + Important Data Transformation Functions (3).vtt
7. Atomic Data Types and Nuances in Coercioning (ExplicitImplicit).vtt
1. R Atomic Data Types Intro - What you must know about Numeric and Integers in R.vtt
1.1 r_data_types_1.pdf.pdf
4. Character Data Type (Atomic) + Important Data Transformation Functions (2).mp4
6. Logical Data Type (Atomic) and Its known Implications.mp4
3. Character Data Type (Atomic) + Important Data Transformation Functions (1).mp4
2. Complex and Character Data Types (Atomic).mp4
5. Character Data Type (Atomic) + Important Data Transformation Functions (3).mp4
7. Atomic Data Types and Nuances in Coercioning (ExplicitImplicit).mp4
1. R Atomic Data Types Intro - What you must know about Numeric and Integers in R.mp4
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ReadMe.txt
1. Introduction
ReadMe.txt
1. Warm Welcome!.vtt
3. What you will learn in this course.vtt
2. Why you should learn R.vtt
1. Warm Welcome!.mp4
3. What you will learn in this course.mp4
2. Why you should learn R.mp4
7. R Data Structure - Data Frames
4. Data Frames - Creation from Lists.vtt
5. Data Frames - Creation from Lists, Matrices and Vectors.vtt
3. Data Frames - More Important Functions for Basic Exploratory Analysis.vtt
1. Data Frames - Introducing The holy grail of processing Structured Data.vtt
7. Data Frames - Handling Missing Values like Pros!.vtt
9. Data Frames - Advanced Subsetting Techniques for robust analytics.vtt
2. Data Frames - Creation and important functions for Basic Exploratory Analysis.vtt
8. Data Frames - Imputing Missing Values like Pros!.vtt
6. Data Frames - Everything you need to know about Subsetting.vtt
1.1 r_data_frames.pdf.pdf
4. Data Frames - Creation from Lists.mp4
5. Data Frames - Creation from Lists, Matrices and Vectors.mp4
3. Data Frames - More Important Functions for Basic Exploratory Analysis.mp4
1. Data Frames - Introducing The holy grail of processing Structured Data.mp4
7. Data Frames - Handling Missing Values like Pros!.mp4
2. Data Frames - Creation and important functions for Basic Exploratory Analysis.mp4
9. Data Frames - Advanced Subsetting Techniques for robust analytics.mp4
8. Data Frames - Imputing Missing Values like Pros!.mp4
6. Data Frames - Everything you need to know about Subsetting.mp4
5. R Data Structure - Matrices
5. Matrices - Indexing Continued.vtt
4. Matrices - Dimensions (Advanced) and Intro to Indexing.vtt
6. Matrices - Advanced Indexing using DimensionNames.vtt
8. Matrices - Operations!.vtt
2. Matrices - Creation and Implications related to its Dimensions.vtt
7. Matrices - Even more Advanced Indexing!.vtt
1. Matrices - Getting Acquainted, Creation and its operational functions!.vtt
3. Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit).vtt
1.1 r_matrices.pdf.pdf
5. Matrices - Indexing Continued.mp4
4. Matrices - Dimensions (Advanced) and Intro to Indexing.mp4
6. Matrices - Advanced Indexing using DimensionNames.mp4
8. Matrices - Operations!.mp4
2. Matrices - Creation and Implications related to its Dimensions.mp4
7. Matrices - Even more Advanced Indexing!.mp4
1. Matrices - Getting Acquainted, Creation and its operational functions!.mp4
3. Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit).mp4
6. R Data Structure - Lists
3. Lists - Comprehending their Recursive Nature in comparison with Vectors.vtt
5. Lists - Nuances in Determining Length in the context of Recursiveness.vtt
2. Lists - Comparing with Vectors w.r.t Heterogeneity and Introducing Indexing.vtt
4. Lists - Converting to and from Vectors and implications (coercion, flatness).vtt
8. List - Comparison of Indexing ways and Implications.vtt
1. Lists - Getting Introduced to one of the most powerful data structures in R.vtt
6. Lists - Nuances in Determining Length and Class of Elements.vtt
7. List - Advanced Indexing also using Labels.vtt
1.1 r_lists.pdf.pdf
3. Lists - Comprehending their Recursive Nature in comparison with Vectors.mp4
5. Lists - Nuances in Determining Length in the context of Recursiveness.mp4
4. Lists - Converting to and from Vectors and implications (coercion, flatness).mp4
2. Lists - Comparing with Vectors w.r.t Heterogeneity and Introducing Indexing.mp4
8. List - Comparison of Indexing ways and Implications.mp4
6. Lists - Nuances in Determining Length and Class of Elements.mp4
1. Lists - Getting Introduced to one of the most powerful data structures in R.mp4
7. List - Advanced Indexing also using Labels.mp4
8. R Control Structures
5. If Else Structures in R (3).vtt
3. If Else Structures in R.vtt
1. While Loops in R.vtt
4. If Else Structures in R (2).vtt
2. For Loops in R - Intro and Practical Use-Cases.vtt
5. If Else Structures in R (3).mp4
3. If Else Structures in R.mp4
1. While Loops in R.mp4
4. If Else Structures in R (2).mp4
2. For Loops in R - Intro and Practical Use-Cases.mp4
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