Read-Through Challenge: *Deep Learning with Python, 3rd Edition*, by the Creator of Keras

Basic / Machine Learning(ML), Deep Learning(DL)

4.8

(150)

9,400+

The ultimate machine learning and deep learning tutorial that teaches you like a 1:1 private lesson with Hanbit Media's Honkong series, understand with hundreds of hand drawings, and practice right away with just a browser through Google Colab

Basic

Machine Learning(ML), Deep Learning(DL)

Self-study machine learning + deep learning

haesunpark

Basic / Machine Learning(ML), Deep Learning(DL)

4.8

(150)

9,400+

<From Scratch: Building and Learning LLMs> Commentary Lecture

haesunpark

$77.00

Basic / PyTorch, gpt-2, transformer, LLM, Fine-Tuning

4.8

(25)

500+

This is a course covering the GitHub notebooks and bonus content from <Build a Large Language Model from Scratch> (Gilbut, 2025). GitHub: https://github.com/rickiepark/llm-from-scratch/ <Build a Large Language Model from Scratch> is the Korean translation of the bestseller <Build a Large Language Model (from Scratch)> (Manning, 2024) by Sebastian Raschka. This book provides a way to learn and utilize the operating principles of large language models by building a complete model starting from scratch with OpenAI's GPT-2 model.

Basic

PyTorch, gpt-2, transformer

<From Scratch: Building and Learning LLMs> Commentary Lecture

haesunpark

$77.00

Basic / PyTorch, gpt-2, transformer, LLM, Fine-Tuning

4.8

(25)

500+

Hands-On Machine Learning 2

haesunpark

Basic / Tensorflow, Machine Learning(ML), Deep Learning(DL), Keras, Reinforcement Learning(RL), NLP, Scikit-Learn

4.7

(59)

6,700+

This course covers the content of the Amazon bestseller <Hands-On Machine Learning, 2nd Edition>. You will learn various machine learning algorithms and evaluation methods using Scikit-Learn, a representative machine learning library. Additionally, you will build a foundation in both theory and practice, ranging from artificial neural networks to reinforcement learning, using the most famous deep learning libraries, TensorFlow and Keras. This course is not yet complete. One to two lectures will be added every week.

Basic

Tensorflow, Machine Learning(ML), Deep Learning(DL)

Hands-On Machine Learning 2

haesunpark

Basic / Tensorflow, Machine Learning(ML), Deep Learning(DL), Keras, Reinforcement Learning(RL), NLP, Scikit-Learn

4.7

(59)

6,700+

Python for Waking Up Your Coding Brain

haesunpark

Beginner / Python, Pandas

4.9

(15)

900+

Wake up your sleeping coding brain. From Python basics to machine learning, all in one book! Based on MIT lectures, this computer science introductory book is accessible even for beginners with no prior knowledge of programming. Wake up your dormant coding brain with essential introductory topics such as computational thinking and simple algorithms. Through the "Finger Exercise" problems provided in each chapter, you will explore practical subjects like data visualization, simulation, data calculation techniques, and machine learning.

Beginner

Python, Pandas

Python for Waking Up Your Coding Brain

haesunpark

Beginner / Python, Pandas

4.9

(15)

900+

Do It! Introduction to Deep Learning

haesunpark

Basic / Deep Learning(DL), Machine Learning(ML), Artificial Neural Network

4.9

(81)

5,000+

This lecture guides readers to deep learning with the most appropriate pace and straight direction, one step from concept to formula and one step from coding. In addition, there are over 100 graphs, illustrations, and diagrams, so you can easily and quickly accept abstract concepts. Another unique feature of this lecture is that you can start practicing right away by simply accessing a web browser without installing a program. After comfortably understanding the theory, you can directly code and conquer four representative deep learning problems with your eyes, so it is not lacking as a textbook for deep learning. The concepts or terms that you must go over are reviewed twice in the ‘Wait! Let’s move on to the next’ corner in the middle of the text and the ‘Memory Card’ corner at the end of the chapter to increase the learning effect. Let’s quickly overcome deep learning head-on with ‘Do it! Introduction to Deep Learning.’

Basic

Deep Learning(DL), Machine Learning(ML), Artificial Neural Network

Do It! Introduction to Deep Learning

haesunpark

Basic / Deep Learning(DL), Machine Learning(ML), Artificial Neural Network

4.9

(81)

5,000+

Large Language Models, Just the Essentials!

haesunpark

Beginner / Artificial Neural Network, PyTorch, LLM, Fine-Tuning, RNN

4.7

(10)

This is a lecture covering LLM theory and practical examples based on <Large Language Models, Just the Essentials!> (Insight, 2025).

Beginner

Artificial Neural Network, PyTorch, LLM

Large Language Models, Just the Essentials!

haesunpark

Beginner / Artificial Neural Network, PyTorch, LLM, Fine-Tuning, RNN

4.7

(10)

Machine Learning, Just the Essentials, Fast!

haesunpark

Beginner / Artificial Neural Network, CNN, linear-regression, RNN, ensembles

4.7

(10)

This is a lecture covering machine learning theory and practical examples based on <Machine Learning, Just the Essentials!> (Insight, 2025).

Beginner

Artificial Neural Network, CNN, linear-regression

Machine Learning, Just the Essentials, Fast!

haesunpark

Beginner / Artificial Neural Network, CNN, linear-regression, RNN, ensembles

4.7

(10)