Generative AI for Data Analysis and Engineering with ChatGPT

سرفصل های دوره

ChatGPT and AI | Data Analytics and ML Mastering Course with ChatGPT-4o and Next-Gen AI Techniques for Data Analyst

1 - Project Files and Sources

1 - The Main Prompt Source of The Course.html

2 - Course-Prompts.docx

2 - Prompts.html

3 - Github Link.html

4 - Kaggle Link.html

2 - ChatGPT4o Unleashed Innovations in Communication and Learning

5 - Big News Introducing ChatGPT4o

6 - How to Use ChatGPT4o

7 - Chronological Development of ChatGPT

8 - What Are the Capabilities of ChatGPT4o

9 - As an App ChatGPT

10 - Voice Communication with ChatGPT4o

11 - Instant Translation in 50 Languages

12 - Interview Preparation with ChatGPT4o

13 - Visual Commentary with ChatGPT4o Lesson 1

14 - Visual Commentary with ChatGPT4o Lesson 2

3 - Dataset Exploration and Field Knowledge

15 - ChatGPT for Generative AI Introduction

16 - Accessing the Dataset

17 - First Task Field Knowledge

18 - Continuing with Field Knowledge

19 - Loading the Dataset and Understanding Variables

20 - Delving into the Details of Variables

4 - Variable Analysis Missing Data Unique Values and Statistics

21 - Lets Perform the First Analysis

22 - Updating Variable Names

23 - Examining Missing Values

24 - Examining Unique Values

25 - Examining Statistics of Variables Lesson 1

26 - Examining Statistics of Variables Lesson 2

27 - Examining Statistics of Variables Lesson 3

5 - Exploratory Data Analysis EDA 1

28 - Exploratory Data Analysis EDA

29 - Categorical Variables Analysis with Pie Chart Lesson 1

30 - Categorical Variables Analysis with Pie Chart Lesson 2

31 - Categorical Variables Analysis with Pie Chart Lesson 3

32 - Categorical Variables Analysis with Pie Chart Lesson 4

33 - Categorical Variables Analysis with Pie Chart Lesson 5

6 - Exploratory Data Analysis EDA 2

34 - Importance of Bivariate Analysis in Data Science

35 - Numerical Variables vs Target Variable Lesson 1

36 - Numerical Variables vs Target Variable Lesson 2

37 - Numerical Variables vs Target Variable Lesson 3

38 - Numerical Variables vs Target Variable Lesson 4

39 - Categoric Variables vs Target Variable Lesson 1

40 - Categoric Variables vs Target Variable Lesson 2

41 - Categoric Variables vs Target Variable Lesson 3

42 - Categoric Variables vs Target Variable Lesson 4

43 - Categoric Variables vs Target Variable Lesson 5

7 - Exploratory Data Analysis EDA 3

44 - Correlation Between Numerical and Categorical Variables and the Target Variable

45 - Correlation Between Numerical and Categorical Variables and the Target Variable

46 - Examining Numeric Variables Among Themselves Lesson 1

47 - Examining Numeric Variables Among Themselves Lesson 2

48 - Numerical Variables Categorical Variables Lesson 1

49 - Numerical Variables Categorical Variables Lesson 2

50 - Numerical Variables Categorical Variables Lesson 3

51 - Numerical Variables Categorical Variables Lesson 4

52 - Numerical Variables Categorical Variables Lesson 5

53 - Numerical Variables Categorical Variables with Swarm Plot Lesson 1

54 - Numerical Variables Categorical Variables with Swarm Plot Lesson 2

55 - Numerical Variables Categorical Variables with Swarm Plot Lesson 3

56 - Numerical Variables Categorical Variables with Swarm Plot Lesson 4

57 - Numerical Variables Categorical Variables with Swarm Plot Lesson 5

58 - Numerical Variables Categorical Variables with Swarm Plot Lesson 6

59 - Relationships between variables Analysis with Heatmap Lesson 1

60 - Relationships between variables Analysis with Heatmap Lesson 2

8 - Preparation for Modeling

61 - Preparation for Modeling

62 - Dropping Columns with Low Correlation

63 - Struggling Outliers

64 - Visualizing Outliers Lesson 1

65 - Visualizing Outliers Lesson 2

66 - Visualizing Outliers Lesson 3

67 - Dealing with Outliers Lesson 1

68 - Dealing with Outliers Lesson 2

69 - Dealing with Outliers Lesson 3

70 - Dealing with Outliers Lesson 4

71 - Dealing with Outliers Lesson 5

72 - Determining Distributions

73 - Determining Distributions of Numeric Variables Lesson 1

74 - Determining Distributions of Numeric Variables Lesson 2

75 - Determining Distributions of Numeric Variables Lesson 3

76 - Determining Distributions of Numeric Variables Lesson 4

77 - Determining Distributions of Numeric Variables Lesson 5

78 - Applying One Hot Encoding Method to Categorical Variables Lesson

79 - Applying One Hot Encoding Method to Categorical Variables Lesson

80 - Feature Scaling with the RobustScaler Method for Machine Learning Algorithms

81 - Separating Data into Test and Training Set

9 - Machine Learning Algorithm Logistic Regression

82 - Logistic Regression Algorithm Lesson 1

83 - Logistic Regression Algorithm Lesson 2

84 - Cross Validation

85 - ROC Curve and Area Under Curve AUC Lesson 1

86 - ROC Curve and Area Under Curve AUC Lesson 2

87 - Hyperparameter Optimization with GridSearchCV

88 - Hyperparameter Tuning for Logistic Regression Model

10 - Machine Learning Algorithm Decision Tree SVM

89 - Decision Tree Algorithm Lesson 1

90 - Decision Tree Algorithm Lesson 2

91 - Support Vector Machine Algorithm Lesson 1

92 - Support Vector Machine Algorithm Lesson 2

11 - Machine Learning Algorithm Random Forest

93 - Random Forest Algorithm Lesson 1

94 - Random Forest Algorithm Lesson 2

95 - Random Forest Algorithm Lesson 3

96 - Random Forest Algorithm Lesson 4

12 - Conclusion

97 - Project Conclusion

98 - Suggestions and Closing

13 - Extra

99 - Generative AI for Data Analysis and Engineering with ChatGPT.html

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تولید کننده: Udemy