Master Machine Learning (AI) using ChatGPT
Learn Data Science, Machine Learning and Deep Learning Techniques in Python using the power of ChatGPT prompts
Development ,Data Science,ChatGPT
Lectures -18
Duration -2 hours
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Course Description
This course is designed to give you a comprehensive introduction to the world of data science using ChatGPT. You will learn the fundamental concepts and tools of data science, including Python programming, data visualization, and statistical analysis. Throughout the course, you will gain hands-on experience with popular data science libraries such as NumPy, Pandas, Matplotlib, and Seaborn.
We will cover linear and logistic regression, decision trees, and random forests for prediction and classification tasks.
In addition, you will learn unsupervised learning techniques such as clustering and dimensionality reduction. We will also cover advanced methods in NLP and deep learning.
You will learn the concepts and techniques of time series analysis and forecasting. We will also cover building recommendation systems and web scraping.
We will also cover Reinforcement Learning and Robotics.
Throughout the course, you will apply your newfound skills to real-world projects and use cases. By the end of the course, you will be equipped with the skills to become a data scientist or data analyst, and have a strong foundation to pursue advanced topics in machine learning and artificial intelligence.
Goals
Master the fundamental concepts and tools of data science, including Python programming, data visualization, and statistical analysis.
Gain hands-on experience with popular data science libraries such as NumPy, Pandas, Matplotlib, and Seaborn.
Understand and apply the concepts of linear and logistic regression, decision trees, and random forests for prediction and classification tasks.
Learn unsupervised learning techniques such as clustering and dimensionality reduction.
Learn advanced methods in NLP and deep learning.
Understand the concepts and techniques of time series analysis and forecasting.
Build recommendation systems and web scraping.
Learn Reinforcement Learning and Robotics.
Apply your newfound skills to real-world projects and use cases.
Be equipped with the skills to become a data scientist or data analyst.
Get a strong foundation to pursue advanced topics in machine learning and artificial intelligence.
Learn to clean, explore, and visualize data to uncover patterns and insights.
Prerequisites
- Active ChatGPT account
- Basic knowledge of programming concepts.
- Familiarity with basic mathematical concepts such as probability and statistics.
- Understanding basic linear algebra and calculus concepts would be helpful but not necessary.
- Familiarity with basic computer science concepts such as data structures and algorithms is helpful but not necessary.
- Some knowledge of machine learning would be helpful but not necessary.
Curriculum
Check out the detailed breakdown of what’s inside the course
Course Introduction
2 Lectures
- A glimpse of the teracher and the Encouraging of learning AI 03:28 03:28
- Register OpenAI account and start using ChatGPT 02:04 02:04
Introduction to Data Science and Python
4 Lectures
Linear Regression
1 Lectures
Decision Trees and Random Forest
2 Lectures
Unsupervised Learning
1 Lectures
Gradient Boosting
1 Lectures
Natural Language Processing (NLP)
1 Lectures
Deep Learning
3 Lectures
Time series and Forecasting
1 Lectures
Recommender system
1 Lectures
Web scraping and Big data
1 Lectures
Instructor Details
Mohamad Ghaith Alzin
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