Building the Basics of R Programming

Learn how to draw networks using R. Rather than drawing the network itself, we focus on building the shape of the data that will go into the network and how to draw the network nicely.

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

This is a lecture for non-majors or high school students who are studying data science and artificial intelligence for the first time. We will teach you the concepts of artificial intelligence and machine learning and what efforts you need to make to get a related job.

This is a basic R programming course for beginners. Just follow along with me and type in the code twice. You will naturally become a beginner!

Theory and practice are different. We will grasp the basic concepts of machine learning and introduce the core concepts and theories of various essential models. Furthermore, by working with diverse datasets, we will share various techniques and know-how that are helpful in practice.

This is a PDF textbook that covers the basic grammar of R, frequently used functions, and useful intermediate to advanced techniques.

This course is for those who want to study machine learning but lack statistical knowledge.

This course covers basic natural language processing techniques and various text tasks using deep learning.

You will learn how to collect and manage all stocks listed on the stock market. Through automation, you will collect stock prices daily and even create a dashboard using Shiny to identify stock trends by industry.

Learn about GAN (Generative Adversarial Networks) in an easy and accurate way.

Learn MLP, CNN, and RNN, the basic framework of deep learning, quickly and easily.

We will learn about Q-learning and Deep Q-learning, and have time to implement reinforcement learning in R. We will cover the entire reinforcement learning content, from Deep Q-network to Self-imitation learning and Random Network Distillation.

This is a lecture that teaches you how to do data science through R. You will learn line by line, from loading data to building models and model performance strategies.

We cover frequently used functions for R programming, how to write code efficiently, and intermediate techniques.

You have learned the basics of programming, crawling, and text mining, but have you ever felt lost when it comes to actually doing a project? This is a lecture where you will go through a project with me from start to finish.

This is a practical text mining project. This is a lecture that covers everything from data collection to sentiment analysis and data visualization all at once!!

A course for DS/AI beginners aiming to study. It will explain DS/AI concepts and fields, guiding what and how to study.

This is a lecture where we will step-by-step explore top keywords, word clouds, sentiment analysis, and topic modeling using R.

I will make it so that you can crawl freely. Most of the lectures are conducted through live coding. Please follow along line by line while I code!

This is a basic R programming course for beginners. Just follow along with me and type in the code twice. You will naturally become a beginner!

A friendly R class from a professional instructor who teaches data analysis for over 1,000 hours a year! We've renewed the existing lectures and will also inform you of the latest trends.

Let's understand and try policy evaluation with R and R Studio!

We cover frequently used functions for R programming, how to write code efficiently, and intermediate techniques.

Let's use the R language, which processes data easily and conveniently, to develop computer program utilization skills related to one's major, even for non-computer majors!

Master the Big Data Analysis Certification—an essential credential that is by no means easy to self-study—in a short period using R, an easy-to-learn data analysis tool!

We are going on a long journey into the unknown world of deep learning and artificial intelligence. Let's leave complex formulas and coding behind for a moment and set off with the wings of R and Keras.