[DesireCourse.Com] Udemy - R Programming Advanced Analytics In R For Data Science

• [DesireCourse.Com] Udemy - R Programming Advanced Analytics In R For Data Science
• 01 Welcome To The Course/001 Welcome to the Advanced R Programming Course.mp4 46.1 MB
• 02 Data Preparation/002 Welcome to this section. This is what you will learn.mp4 47.7 MB
• 02 Data Preparation/003 Project Brief Financial Review.mp4 7.5 MB
• 02 Data Preparation/004 Import Data into R.mp4 23.6 MB
• 02 Data Preparation/005 What are Factors Refresher.mp4 37.6 MB
• 02 Data Preparation/006 The Factor Variable Trap.mp4 28.8 MB
• 02 Data Preparation/007 FVT Example.mp4 28.3 MB
• 02 Data Preparation/008 gsub and sub.mp4 44 MB
• 02 Data Preparation/009 Dealing with Missing Data.mp4 45.6 MB
• 02 Data Preparation/010 What is an NA.mp4 17.4 MB
• 02 Data Preparation/011 An Elegant Way To Locate Missing Data.mp4 57.1 MB
• 02 Data Preparation/012 Data Filters which for Non-Missing Data.mp4 37.1 MB
• 02 Data Preparation/013 Data Filters is.na for Missing Data.mp4 26 MB
• 02 Data Preparation/014 Removing records with missing data.mp4 30.2 MB
• 02 Data Preparation/015 Reseting the dataframe index.mp4 43.9 MB
• 02 Data Preparation/016 Replacing Missing Data Factual Analysis Method.mp4 31.6 MB
• 02 Data Preparation/017 Replacing Missing Data Median Imputation Method Part 1.mp4 61.9 MB
• 02 Data Preparation/018 Replacing Missing Data Median Imputation Method Part 2.mp4 20 MB
• 02 Data Preparation/019 Replacing Missing Data Median Imputation Method Part 3.mp4 24.4 MB
• 02 Data Preparation/020 Replacing Missing Data Deriving Values Method.mp4 23.2 MB
• 02 Data Preparation/021 Visualizing results.mp4 40.1 MB
• 02 Data Preparation/022 Section Recap.mp4 11.1 MB
• 02 Data Preparation/quizzes/001 Data Preparation.html 9.1 KB
• 03 Lists in R/023 Welcome to this section. This is what you will learn.mp4 31.8 MB
• 03 Lists in R/024 Project Brief Machine Utilization.mp4 61.8 MB
• 03 Lists in R/025 Import Data Into R.mp4 18.6 MB
• 03 Lists in R/026 Handling Date-Times in R.mp4 50.1 MB
• 03 Lists in R/027 What is a List.mp4 44.7 MB
• 03 Lists in R/028 Naming components of a list.mp4 13.9 MB
• 03 Lists in R/029 Extracting components lists vs vs.mp4 20 MB
• 03 Lists in R/030 Adding and deleting components.mp4 38.5 MB
• 03 Lists in R/031 Subsetting a list.mp4 28.6 MB
• 03 Lists in R/032 Creating A Timeseries Plot.mp4 45.9 MB
• 03 Lists in R/033 Section Recap.mp4 6.6 MB
• 03 Lists in R/quizzes/002 Lists in R.html 6.4 KB
• 04 Apply Family of Functions/034 Welcome to this section. This is what you will learn.mp4 49.5 MB
• 04 Apply Family of Functions/035 Project Brief Weather Patterns.mp4 31.9 MB
• 04 Apply Family of Functions/036 Import Data into R.mp4 33.8 MB
• 04 Apply Family of Functions/037 What is the Apply family.mp4 18.7 MB
• 04 Apply Family of Functions/038 Using apply.mp4 32.9 MB
• 04 Apply Family of Functions/039 Recreating the apply function with loops advanced topic.mp4 23.9 MB
• 04 Apply Family of Functions/040 Using lapply.mp4 48.6 MB
• 04 Apply Family of Functions/041 Combining lapply with.mp4 30.2 MB
• 04 Apply Family of Functions/042 Adding your own functions.mp4 33.2 MB
• 04 Apply Family of Functions/043 Using sapply.mp4 43.5 MB
• 04 Apply Family of Functions/044 Nesting apply functions.mp4 30.8 MB
• 04 Apply Family of Functions/045 which.max and which.min advanced topic.mp4 40.4 MB
• 04 Apply Family of Functions/046 Section Recap.mp4 9.8 MB
• 04 Apply Family of Functions/quizzes/003 Apply Family of Functions.html 6.4 KB
• 05 Bonus Lectures/047 YOUR SPECIAL BONUS.html 3.6 KB
• [DesireCourse.Com].txt 754 B

No comments yet.