LLM Data Analytics - From Web Crawling to Recommendation Systems

Learn LangChain's basic concepts and usage with Python. Hands-on practice will be conducted primarily in a Google Colab (colab) environment, with materials provided via Github.

Knowledge Graph-Based RAG System in Neo4J: Next-Generation Search Leveraging Data Relationships Beyond Simple Vector Search Maximize RAG Performance using Graph DB Power!

This lecture covers RAG (Retrieval-Augmented Generation) system fundamentals and implementation using LangChain. Participants will understand RAG's core principles and learn to build and evaluate systems using LangChain.

Implementing a Retrieval-Augmented Generation (RAG) Intelligent AI Agent with LangGraph! From theory to practice, this is a hands-on tutorial that even beginners can easily follow.

This is a basic Python course for non-major beginners. Practice materials are provided through Github.

Using Python's basic syntax and libraries, create your own AI chatbot. You will carry out 5 projects step-by-step, including PDF document-based RAG, and learn the process of deploying them as web services.

Learn about Python and how to automatically collect Naver news titles and stock data from Naver Finance using Python. The library I mainly use is BeautifulSoup.

This course is for those who have learned the basic grammar of Python and will learn the core skills used in text data analysis. I hope that those who are interested in text analysis will gain more ideas through this course and use it for a long time.

Knowledge Graph-Based RAG System in Neo4J: Next-Generation Search Leveraging Data Relationships Beyond Simple Vector Search Maximize RAG Performance using Graph DB Power!

Advanced Selenium course that is not blocked on large platforms Developing a bot that moves like a human

RAG. Learn from Silicon Valley GenAI Hackathon Winner. Packed with real-world know-how.

This is a lecture that will teach you step-by-step how to use R to analyze top keywords, wordclouds, sentiment analysis, and topic modeling in text.

This course aims to acquire Python-based web crawling technology to collect data from web pages and improve data collection and analysis capabilities at work based on this.

Even beginners of Github can do it! Even beginners of Python can do it! Create a crawling web service that performs periodic crawling using Github Action.

We create an AI judge by combining CrewAI, facilitating LLM-based multi-agent technology, with knowledge graphs and inference systems.

The Intermediate Python course is designed to deepen your understanding of Python by covering advanced topics such as functional programming, metaprogramming, exception handling, and object-oriented programming.

LLM: A pro quickly delivers core content, from essentials to practical tips!

You can easily learn how to collect and process data using Excel's Power Query feature, even if you don't know coding. You will learn Excel crawling skills by practicing the project below together.

Build basic R programming skills and learn basic crawling techniques. We will explain each line while writing the code yourself.

With easy explanations and various practical exercises, you can learn web crawling and website automation, and learn various applications such as website creation and ChatGPT usage.

🧩 Rather than focusing on complex formulas or theory-centric explanations, the goal is to learn the core concepts of recommendation systems by directly implementing programs. 🛠️ Through a total of 12 diverse and practical examples, we have progressively designed recommendation systems that can be utilized in real-world environments, including content-based recommendation, collaborative filtering, and deep learning recommendation.

Develop various features using Spring WebFlux. This course will teach you WebFlux's essential concepts and practical implementation.

Introductory lecture on recommendation systems by Datalian, who has over 10,000 cumulative students and rich online/offline lecture experience. Learn the basic theory of recommendation systems and practice movie data analysis together.

Learn to implement Telegram, Slack, KakaoTalk, and Discord bots with Python, exploring each service's features via various examples.

From the basics of Python to applications, everything you can do with Python, including web, data analysis, crawling, business automation, GUI, and programming, is covered in one course.

Learn how to collect data from the web and create a supervised learning model for machine learning!