Conditional Statements and Loops in R

دروس الكورس

1. 1- A short introduction to R programming language
2. 2- R Tutorial #1 Getting Help in R language
3. 3- R Tutorial #2 Understanding RStudio Interface
4. 4- R Tutorial #3 Basic Calculations in R language
5. 5- R Tutorial #4 Working with data types in R programming language
6. 6- R Tutorial #5 Basic Calculations in R language (Part - 2) (With Examples)
7. 7- R Tutorial #6 Different Types of Operators in R language
8. 8- R Tutorial#7 Different Data Structures in R language (A Quick Intro)
9. 9- R Tutorial #8 Vectors in R language (With Examples)
10. 10- R Tutorial #9 Matrices and its operations in R language (With Examples)
11. 11- R Tutorial #10 Data Frames in R language (With Examples)
12. 12- R Tutorial #11 Working with List in R (With Examples)
13. 13- R Tutorial #12 Working with Arrays in R language (With Examples)
14. 14- R Tutorial #13 Working with Factors in R language (With Examples)
15. 15- Learn Subsetting in R programming language (in quick time)
16. 16- Conditional Statements and Loops in R
17. 17- String Functions in R
18. 18- Regular Expressions in R language (With Examples)
19. 19- Tutorial on Apply Family of Functions in R language
20. 20- Working with date and timestamp in R language
21. 21- Reading and Writing CSV Files in R language (A short little video)
22. 22- SQLDF : Writing SQL Queries in R language
23. 23- Understanding DPLYR package and its functions in R language (With Examples)
24. 24- Tidy Messy Data with TidyR package (With Examples)
25. 25- Beginner's Guide to R : Easy Ways to do basic data analysis
26. 26- Handling Missing Values in R
27. 27- Fundamentals of Text Mining and Word Cloud in R language
28. 28- Basic Plots (Part - 1) - How to draw Bar Plot in R language ?
29. 29- Basic Plots (Part - 2) - How to draw Scatter Plot in R language ?
30. 30- Basic Plots (Part - 3) - How to draw Line Chart in R language ?
31. 31- Basic Plots (Part - 4) - How to draw Pie Chart in R language ?
32. 32- How to draw Heat Map in R language ?
33. 33- How to draw Box Plot in R language ?
34. 34- How to draw Bollinger Band in R language ?
35. 35- Learn GGPLOT2 and its layers in R language in an easiest way.
36. 36- Learn PLOTLY in R language in an easiest way (With Examples)
37. 37- How to get access to Twitter's data using R language ?
38. 38- Getting Started with R Markdown : Creating first R Markdown document
39. 39- Getting Started with R Markdown Flexdashboard
40. 40- R Shiny Tutorial
41. 41- R Shiny Tutorial (Part-2) : Building the basic User Interface of Shiny App
42. 42- R Shiny Tutorial (Part-3) : Building Interactive Shiny App in R language
43. 43- How to get CHATGPT in RSTUDIO IDE
44. 44- Machine Learning Tutorial : Data Pre-processing in R language
45. 45- Machine Learning Tutorial : Learn Simple Linear Regression in R (With Example)
46. 46- Machine Learning Tutorial : Assumptions of Linear Regression
47. 47- Machine Learning Tutorial: Multiple Linear Regression using R
48. 48- Introduction to Polynomial Regression
49. 49- Implementation of Polynomial Regression in R Comparison of Linear and Polynomial Regression
50. 50- Introduction to SVR (Support Vector Regression)
51. 51- Implementation of Support Vector Regression in R Language
52. 52- What is Classification in Machine Learning ? (A 2-minute tutorial)
53. 53- How to perform Logistic Regression in R programming language (Step-By-Step)
54. 54- How the K-Nearest Neighbors (KNN) Algorithm Works ? (A 5-minute tutorial)
55. 55- Implementation of K-Nearest Neighbors (KNN) algorithm in R programming language
56. 56- A short introduction to Support Vector Machine (SVM)
57. 57- Implementing Support Vector Machine (SVM) in R language
58. 58- Naive Bayes in R : Understanding Bayes Theorem
59. 59- How Naive Bayes Algorithm works?
60. 60- Implementation of Naive Bayes Algorithm in R language (in less than 10 minutes)
61. 61- Machine Learning Tutorial - Working of Decision Tree Classifier
62. 62- Implementation of Decision Tree Classifier in RStudio (in less than 10 minutes)
63. 63- A short little introduction to Random Forest Classifier
64. 64- Implementation of Random Forest Classifier in RStudio
65. 65- INTRO TO CLUSTERING DIFFERENCE BETWEEN SUPERVISED AND UNSUPERVISED LEARNING
66. 66- INTRO TO K-MEANS CLUSTERING