ChatGPT for Data Science and Machine Learning
ChatGPT for Data Science and Machine Learning, available at $94.99, has an average rating of 4.27, with 37 lectures, based on 38 reviews, and has 422 subscribers.
You will learn about 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 This course is ideal for individuals who are Professionals who want to explore how ChatGPT can be integrated into their data analysis and machine learning modeling activities or Professionals working on machine learning model development who wish to understand how ChatGPT can be a valuable tool in the process or Students looking to acquire knowledge in data analysis and machine learning, incorporating ChatGPT into their skill set or Individuals with technical programming knowledge who want to expand their skills in data analysis and machine learning with the assistance of ChatGPT or People working with data analysis who want to enhance their techniques and approaches using ChatGPT or Enthusiasts who want to explore the use of ChatGPT as a supportive tool in their machine learning activities It is particularly useful for Professionals who want to explore how ChatGPT can be integrated into their data analysis and machine learning modeling activities or Professionals working on machine learning model development who wish to understand how ChatGPT can be a valuable tool in the process or Students looking to acquire knowledge in data analysis and machine learning, incorporating ChatGPT into their skill set or Individuals with technical programming knowledge who want to expand their skills in data analysis and machine learning with the assistance of ChatGPT or People working with data analysis who want to enhance their techniques and approaches using ChatGPT or Enthusiasts who want to explore the use of ChatGPT as a supportive tool in their machine learning activities.
Enroll now: ChatGPT for Data Science and Machine Learning
Summary
Title: ChatGPT for Data Science and Machine Learning
Price: $94.99
Average Rating: 4.27
Number of Lectures: 37
Number of Published Lectures: 37
Number of Curriculum Items: 37
Number of Published Curriculum Objects: 37
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will 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 Should Attend
- 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
Target Audiences
- 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
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!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course content
Lecture 2: Starting ChatGPT
Lecture 3: ChatGPT for DS and ML
Lecture 4: Course materials
Chapter 2: Data analysis and exploration
Lecture 1: Basic statistics 1
Lecture 2: Basic statistics 2
Lecture 3: Basic statistics 3
Lecture 4: Missing values 1
Lecture 5: Missing values 2
Lecture 6: Outliers
Lecture 7: Relation between variables
Lecture 8: Charts – categorical features
Lecture 9: Charts – numerical features
Lecture 10: Dynamic charts
Chapter 3: Machine learning
Lecture 1: Categorical features – LabelEncoder
Lecture 2: Unbalanced data
Lecture 3: Categorical features – OneHotEncoding
Lecture 4: Feature scaling
Lecture 5: Train and test data
Lecture 6: Algorithms and evaluation
Lecture 7: Cross validation 1
Lecture 8: Cross validation 2
Lecture 9: Hyperparameter tuning
Lecture 10: Final model
Lecture 11: Feature selection
Lecture 12: HOMEWORK – regression
Lecture 13: Solution 1
Lecture 14: Solution 2
Lecture 15: Solution 3
Lecture 16: Solution 4
Lecture 17: Solution 5
Lecture 18: Twitter dataset 1
Lecture 19: Twitter dataset 2
Lecture 20: Pre-processing texts
Lecture 21: Sentiment analysis
Chapter 4: Final remarks
Lecture 1: Final remarks
Lecture 2: BONUS
Instructors
-
Jones Granatyr
Professor -
AI Expert Academy
Instructor
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 2 votes
- 3 stars: 2 votes
- 4 stars: 11 votes
- 5 stars: 23 votes
Frequently Asked Questions
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