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ChatGPT: Master Machine Learning (AI) using ChatGPT

person icon Mohamad Ghaith Alzin

4.4

ChatGPT: Master Machine Learning (AI) using ChatGPT

Learn Data Science, Machine Learning and Deep Learning Techniques in Python using the power of ChatGPT prompts

updated on icon Updated on Feb, 2024

language icon Language - English

person icon Mohamad Ghaith Alzin

category icon Development,Data Science and AI ML,ChatGPT

Lectures -18

Duration -2 hours

4.4

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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

What will you learn in this course:

  • 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

What are the prerequisites for this course?

  • 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.
ChatGPT: Master Machine Learning (AI) using ChatGPT

Curriculum

Check out the detailed breakdown of what’s inside the course

Course Introduction
2 Lectures
  • play icon A glimpse of the teracher and the Encouraging of learning AI 03:28 03:28
  • play icon Register OpenAI account and start using ChatGPT 02:04 02:04
Introduction to Data Science and Python
4 Lectures
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Linear Regression
1 Lectures
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Decision Trees and Random Forest
2 Lectures
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Unsupervised Learning
1 Lectures
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Gradient Boosting
1 Lectures
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Natural Language Processing (NLP)
1 Lectures
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Deep Learning
3 Lectures
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Time series and Forecasting
1 Lectures
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Recommender system
1 Lectures
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Web scraping and Big data
1 Lectures
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Instructor Details

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Mohamad Ghaith Alzin

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