ChatGPT for Data Science and Machine Learning

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Jones Granatyr,AI Expert Academy

4:06:05

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1. Introduction

1. Course content.mp4

11:43

2. Starting ChatGPT.mp4

08:51

3. ChatGPT for DS and ML.mp4

07:38

4. Course materials.html

2. Data analysis and exploration

1.1 Conversation with ChatGPT.html

1.2 Source code - Google Colab.html

1. Basic statistics 1.mp4

06:16

2. Basic statistics 2.mp4

06:06

3. Basic statistics 3.mp4

09:02

4. Missing values 1.mp4

08:23

5. Missing values 2.mp4

07:54

6. Outliers.mp4

07:37

7. Relation between variables.mp4

08:17

8. Charts - categorical features.mp4

10:02

9. Charts - numerical features.mp4

07:40

10. Dynamic charts.mp4

06:45

3. Machine learning

1.1 Conversation with ChatGPT.html

1.2 Source code - Google Colab.html

1. Categorical features - LabelEncoder.mp4

06:12

2. Unbalanced data.mp4

07:50

3. Categorical features - OneHotEncoding.mp4

07:50

4. Feature scaling.mp4

06:53

5. Train and test data.mp4

03:59

6. Algorithms and evaluation.mp4

10:08

7. Cross validation 1.mp4

07:02

8. Cross validation 2.mp4

05:05

9. Hyperparameter tuning.mp4

04:56

10. Final model.mp4

03:56

11. Feature selection.mp4

09:24

12. HOMEWORK - regression.html

13.1 Conversation with ChatGPT.html

13.2 Source code - Google Colab.html

13. Solution 1.mp4

09:52

14. Solution 2.mp4

07:30

15. Solution 3.mp4

07:00

16. Solution 4.mp4

06:06

17. Solution 5.mp4

05:28

18.1 Conversation with ChatGPT.html

18.2 Source code - Google Colab.html

18. Twitter dataset 1.mp4

09:48

19. Twitter dataset 2.mp4

06:37

20. Pre-processing texts.mp4

03:30

21. Sentiment analysis.mp4

07:29

4. Final remarks

1. Final remarks.mp4

01:44

2. BONUS.mp4

01:32

Description

Use ChatGPT to streamline the execution of Data Science, Data Analysis, Machine Learning, and AI projects

What You'll Learn?

Use ChatGPT as a co-pilot in your Data Science and Machine Learning projects
Implement projects without typing a single line of code, as ChatGPT will handle code generation
Extract insights from datasets with the assistance of ChatGPT
Generate Python code, from data loading to result analysis
Generate Python code for natural language processing projects

Who is this for?

Professionals who want to explore how ChatGPT can be integrated into their data analysis and machine learning modeling activities

Professionals working on machine learning model development who wish to understand how ChatGPT can be a valuable tool in the process

Students looking to acquire knowledge in data analysis and machine learning, incorporating ChatGPT into their skill set

Individuals with technical programming knowledge who want to expand their skills in data analysis and machine learning with the assistance of ChatGPT

People working with data analysis who want to enhance their techniques and approaches using ChatGPT

Enthusiasts who want to explore the use of ChatGPT as a supportive tool in their machine learning activities

What You Need to Know?

Programming language

Basic Python programming

Machine Learning basics

More details

Description
This course covers an exciting journey in the application of ChatGPT in the field of Data Science and Machine Learning. Throughout this program, you will explore ChatGPT's ability as a valuable tool in data analysis, preprocessing, and machine learning model building without needing to write a single line of code!
In the first part, we will dive into fundamental data analysis techniques. You will learn how to extract crucial statistical information from your datasets, handle missing values, and identify and treat outliers. We will explore the relationships between variables and the visual representation of categorical and numerical data. Additionally, you will have the opportunity to create interactive graphs, making data exploration more engaging and informative. In the second part, we will delve deeper into the field of machine learning, and you will learn how to handle categorical attributes using techniques like LabelEncoder and OneHotEncoding. We will address the challenge of imbalanced datasets and discuss the importance of feature scaling. You will also gain experience in effective data splitting, selecting appropriate algorithms, and evaluation methods. Cross-validation, parameter tuning, and feature selection are essential parts of the modeling process, and you will have the opportunity to enhance your skills in these areas.
Upon completing this course, you will be equipped with advanced skills in data science and machine learning, empowered to effectively apply ChatGPT in real-world projects. This program offers a unique opportunity to enhance your analytical skills and stand out in the field of data science and machine learning. Get ready to reach a new level in your professional career!
Who this course is for:
Professionals who want to explore how ChatGPT can be integrated into their data analysis and machine learning modeling activities
Professionals working on machine learning model development who wish to understand how ChatGPT can be a valuable tool in the process
Students looking to acquire knowledge in data analysis and machine learning, incorporating ChatGPT into their skill set
Individuals with technical programming knowledge who want to expand their skills in data analysis and machine learning with the assistance of ChatGPT
People working with data analysis who want to enhance their techniques and approaches using ChatGPT
Enthusiasts who want to explore the use of ChatGPT as a supportive tool in their machine learning activities

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Olá! Meu nome é Jones Granatyr e já trabalho em torno de 10 anos com Inteligência Artificial (IA), inclusive fiz o meu mestrado e doutorado nessa área. Atualmente sou professor, pesquisador e fundador do portal IA Expert, um site com conteúdo específico sobre Inteligência Artificial. Desde que iniciei na Udemy criei vários cursos sobre diversos assuntos de IA, como por exemplo: Deep Learning, Machine Learning, Data Science, Redes Neurais Artificiais, Algoritmos Genéticos, Detecção e Reconhecimento Facial, Algoritmos de Busca, Mineração de Textos, Buscas em Textos, Mineração de Regras de Associação, Sistemas Especialistas e Sistemas de Recomendação. Os cursos são abordados em diversas linguagens de programação (Python, R e Java) e com várias ferramentas/tecnologias (tensorflow, keras, pandas, sklearn, opencv, dlib, weka, nltk, por exemplo). Meu principal objetivo é desmistificar a área de IA e ajudar profissionais de TI a entenderem como essa tecnologia pode ser utilizada na prática e que possam visualizar novas oportunidades de negócios.

AI Expert Academy

Instructor's Courses

We are an on-line platform focused on courses on Artificial Intelligence, Machine Learning and Data Science. Our goal is to offer easy-to-understand theoretical and practical content, so that professionals from all areas can understand the benefits that AI can bring to their businesses. We are established in Brazil since 2018 and we have already published more than 90 courses in English and Portuguese on the Udemy platform.

Udemy

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Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.