ChatGPT for Data Science and Machine Learning_1

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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You can view and review the lecture materials indefinitely, like an on-demand channel.

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