ChatGPT: Master Machine Learning (AI) using ChatGPT

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Mohamad Ghaith Alzin

1:56:17

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1 - Introduction to Data Science and Python

1 - Introduction to Python.mp4

13:20

2 - Explore and analyze a dataset of your choice using Python and Pandas.mp4

12:09

2 - Linear Regression

3 - Build a linear regression model to predict housing prices.mp4

08:25

3 - Decision Trees and Random Forest

4 - Implement a decision tree algorithm to classify iris flowers.mp4

08:33

5 - Use Random Forest to classify whether a bank loan will default or not.mp4

07:00

4 - Unsupervised Learning

6 - Use Kmeans clustering algorithm to segment customers by purchasing behavior.mp4

11:02

5 - Gradient Boosting

7 - Build a gradient boosting model for anomaly detection in network traffic.mp4

05:31

6 - Natural Language Processing NLP

8 - Use natural language processing techniques to analyze sentiment in a set of movi.mp4

09:56

7 - Deep Learning

9 - Create a neural network to classify images of handwritten digits.mp4

05:14

10 - Use DL to create a model that can generate new text.mp4

07:31

11 - Create a deep learning model for image segmentation.mp4

08:36

8 - Time series and Forecasting

12 - Build a time series forecasting model to predict stock prices.mp4

03:51

9 - Recommender Systems

13 - Build a recommendation system to suggest products to online shoppers.mp4

10:04

10 - Web Scraping and Big Data

14 - Create a web scraping script to collect data from the internet.mp4

05:05

Description

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

What You'll Learn?

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.

Who is this for?

Students who want to learn how to ask (prompts) to ChatGPT to master data science.

This course is designed to be accessible to learners of all backgrounds and levels of experience. It will provide a strong foundation in data science concepts and tools and will be valuable for learners looking to start a career in data science, or use data science in their current roles.

More details

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.
This course is intended for a wide range of learners, including aspiring data scientists and analysts, professionals from various backgrounds who want to learn data science to analyze data and make data-driven decisions, students studying computer science, mathematics, statistics, or related fields who want to gain a deeper understanding of data science, entrepreneurs and small business owners who want to gain insights from data to improve their business, IT professionals who want to add data science skills to their toolkit, researchers and academics who want to analyze data to support their research and anyone who is interested in understanding the basics of data science, machine learning, and artificial intelligence.
Who this course is for:
Students who want to learn how to ask (prompts) to ChatGPT to master data science.
This course is designed to be accessible to learners of all backgrounds and levels of experience. It will provide a strong foundation in data science concepts and tools and will be valuable for learners looking to start a career in data science, or use data science in their current roles.

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Machine Learning

Artificial Intelligence

Mohamad Ghaith Alzin

Instructor's Courses

I am a highly motivated and results-driven professional with over 5 years of experience in the field of robotics software engineering. I have a proven track record of success in developing and implementing software systems. I am passionate about staying up-to-date with the latest technologies and trends, and I am constantly seeking new and innovative ways to engage with people. In my free time, I enjoy being with family and friends.

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