Master Generative AI & ChatGPT-4o for Data Analysis 2024
Focused View
11:31:25
1 - The Main Prompt Source of The Course.html
2 - Course-Prompts.docx
2 - Prompts.html
3 - Github Link.html
4 - Kaggle Link.html
5 - Big News Introducing ChatGPT4o.mp4
04:55
6 - How to Use ChatGPT4o.mp4
05:53
7 - Chronological Development of ChatGPT.mp4
05:21
8 - What Are the Capabilities of ChatGPT4o.mp4
04:33
9 - As an App ChatGPT.mp4
03:18
10 - Voice Communication with ChatGPT4o.mp4
04:50
11 - Instant Translation in 50 Languages.mp4
03:03
12 - Interview Preparation with ChatGPT4o.mp4
18:06
13 - Visual Commentary with ChatGPT4o Lesson 1.mp4
04:19
14 - Visual Commentary with ChatGPT4o Lesson 2.mp4
04:56
15 - ChatGPT for Generative AI Introduction.mp4
04:21
16 - Accessing the Dataset.mp4
01:35
17 - First Task Field Knowledge.mp4
11:12
18 - Continuing with Field Knowledge.mp4
05:42
19 - Loading the Dataset and Understanding Variables.mp4
07:55
20 - Delving into the Details of Variables.mp4
05:35
21 - Lets Perform the First Analysis.mp4
06:37
22 - Updating Variable Names.mp4
06:19
23 - Examining Missing Values.mp4
06:07
24 - Examining Unique Values.mp4
14:12
25 - Examining Statistics of Variables Lesson 1.mp4
15:15
26 - Examining Statistics of Variables Lesson 2.mp4
13:11
27 - Examining Statistics of Variables Lesson 3.mp4
09:19
28 - Exploratory Data Analysis EDA.mp4
09:59
29 - Categorical Variables Analysis with Pie Chart Lesson 1.mp4
10:40
30 - Categorical Variables Analysis with Pie Chart Lesson 2.mp4
09:35
31 - Categorical Variables Analysis with Pie Chart Lesson 3.mp4
06:52
32 - Categorical Variables Analysis with Pie Chart Lesson 4.mp4
16:44
33 - Categorical Variables Analysis with Pie Chart Lesson 5.mp4
11:19
34 - Importance of Bivariate Analysis in Data Science.mp4
07:16
35 - Numerical Variables vs Target Variable Lesson 1.mp4
06:43
36 - Numerical Variables vs Target Variable Lesson 2.mp4
09:56
37 - Numerical Variables vs Target Variable Lesson 3.mp4
08:24
38 - Numerical Variables vs Target Variable Lesson 4.mp4
03:36
39 - Categoric Variables vs Target Variable Lesson 1.mp4
03:38
40 - Categoric Variables vs Target Variable Lesson 2.mp4
05:31
41 - Categoric Variables vs Target Variable Lesson 3.mp4
05:21
42 - Categoric Variables vs Target Variable Lesson 4.mp4
04:45
43 - Categoric Variables vs Target Variable Lesson 5.mp4
05:51
44 - Correlation Between Numerical and Categorical Variables and the Target Variable.mp4
11:42
45 - Correlation Between Numerical and Categorical Variables and the Target Variable.mp4
07:57
46 - Examining Numeric Variables Among Themselves Lesson 1.mp4
06:12
47 - Examining Numeric Variables Among Themselves Lesson 2.mp4
06:56
48 - Numerical Variables Categorical Variables Lesson 1.mp4
18:12
49 - Numerical Variables Categorical Variables Lesson 2.mp4
06:01
50 - Numerical Variables Categorical Variables Lesson 3.mp4
05:21
51 - Numerical Variables Categorical Variables Lesson 4.mp4
05:17
52 - Numerical Variables Categorical Variables Lesson 5.mp4
05:48
53 - Numerical Variables Categorical Variables with Swarm Plot Lesson 1.mp4
12:33
54 - Numerical Variables Categorical Variables with Swarm Plot Lesson 2.mp4
07:19
55 - Numerical Variables Categorical Variables with Swarm Plot Lesson 3.mp4
07:01
56 - Numerical Variables Categorical Variables with Swarm Plot Lesson 4.mp4
04:35
57 - Numerical Variables Categorical Variables with Swarm Plot Lesson 5.mp4
04:31
58 - Numerical Variables Categorical Variables with Swarm Plot Lesson 6.mp4
08:48
59 - Relationships between variables Analysis with Heatmap Lesson 1.mp4
08:07
60 - Relationships between variables Analysis with Heatmap Lesson 2.mp4
14:44
61 - Preparation for Modeling.mp4
05:23
62 - Dropping Columns with Low Correlation.mp4
05:26
63 - Struggling Outliers.mp4
09:50
64 - Visualizing Outliers Lesson 1.mp4
06:30
65 - Visualizing Outliers Lesson 2.mp4
04:33
66 - Visualizing Outliers Lesson 3.mp4
03:51
67 - Dealing with Outliers Lesson 1.mp4
09:24
68 - Dealing with Outliers Lesson 2.mp4
13:50
69 - Dealing with Outliers Lesson 3.mp4
06:02
70 - Dealing with Outliers Lesson 4.mp4
06:38
71 - Dealing with Outliers Lesson 5.mp4
10:03
72 - Determining Distributions.mp4
11:24
73 - Determining Distributions of Numeric Variables Lesson 1.mp4
06:26
74 - Determining Distributions of Numeric Variables Lesson 2.mp4
04:06
75 - Determining Distributions of Numeric Variables Lesson 3.mp4
04:30
76 - Determining Distributions of Numeric Variables Lesson 4.mp4
08:20
77 - Determining Distributions of Numeric Variables Lesson 5.mp4
06:53
78 - Applying One Hot Encoding Method to Categorical Variables Lesson.mp4
05:19
79 - Applying One Hot Encoding Method to Categorical Variables Lesson.mp4
02:31
80 - Feature Scaling with the RobustScaler Method for Machine Learning Algorithms.mp4
03:44
81 - Separating Data into Test and Training Set.mp4
04:00
82 - Logistic Regression Algorithm Lesson 1.mp4
06:14
83 - Logistic Regression Algorithm Lesson 2.mp4
11:15
84 - Cross Validation.mp4
08:44
85 - ROC Curve and Area Under Curve AUC Lesson 1.mp4
06:56
86 - ROC Curve and Area Under Curve AUC Lesson 2.mp4
05:48
87 - Hyperparameter Optimization with GridSearchCV.mp4
07:33
88 - Hyperparameter Tuning for Logistic Regression Model.mp4
08:28
89 - Decision Tree Algorithm Lesson 1.mp4
05:50
90 - Decision Tree Algorithm Lesson 2.mp4
06:55
91 - Support Vector Machine Algorithm Lesson 1.mp4
05:34
92 - Support Vector Machine Algorithm Lesson 2.mp4
06:23
93 - Random Forest Algorithm Lesson 1.mp4
06:09
94 - Random Forest Algorithm Lesson 2.mp4
03:37
95 - Random Forest Algorithm Lesson 3.mp4
05:03
96 - Random Forest Algorithm Lesson 4.mp4
05:43
97 - Project Conclusion.mp4
10:35
98 - Suggestions and Closing.mp4
08:07
99 - Generative AI for Data Analysis and Engineering with ChatGPT.html
More details
Course Overview
This comprehensive course teaches you to leverage ChatGPT-4o and generative AI for advanced data analysis, engineering, and machine learning applications. Master cutting-edge techniques to automate workflows, generate insights, and optimize data pipelines.
What You'll Learn
- Apply ChatGPT-4o for exploratory data analysis (EDA) and visualization
- Implement machine learning algorithms with AI-enhanced feature engineering
- Automate data workflows using generative AI tools and prompt engineering
Who This Is For
- Data Analysts seeking to automate tasks with generative AI
- AI/ML enthusiasts exploring ChatGPT-4o's real-world applications
- Beginners in Data Science wanting cutting-edge AI skills
Key Benefits
- Hands-on experience with ChatGPT-4o's latest capabilities
- Master outlier detection, feature scaling, and model tuning
- Access ready-to-use prompts and project files for immediate application
Curriculum Highlights
- ChatGPT-4o innovations: Voice, translation, and visual analysis
- Advanced EDA with bivariate analysis and heatmap visualization
- Machine learning with Logistic Regression, SVM, and Random Forest
Focused display
Category
- language english
- Training sessions 94
- duration 11:31:25
- Release Date 2025/06/12
