Python機械学習

Now is the time to answer based on data rather than experience! If you quantify the reliability with statistical knowledge and present it as evidence, your persuasiveness will increase infinitely!

AI will not replace people. But 'you utilizing AI' will replace all who don't.

Midjourney, the premier tool for image-generating AI! From basic usage to real-world application through practical design projects, all in one go!

AI writes on my Slack and Notion for me? Work smarter with MCP that surpasses the limitations of existing AI!

Ever wished you had Iron Man's perfect assistant, J.A.R.V.I.S.? Make everyone's J.A.R.V.I.S. to assist your smart work!

Adding Copilot to MS Office? The perfect guide to maximizing work productivity! We provide a systematic learning process for effectively utilizing M365 Copilot in practice.

The Latest Trend in Generative AI, AI Agents! How to Stay Ahead with Cursor, which handles all development tasks, and MCP, which expands functionality!

It's now an era where data speaks, not intuition. Learn data analysis easily with ChatGPT!

Apply the latest trends of Generative AI directly to your work! The bible of Prompt Engineering lectures, packed with essentials

Reading data turns it into money! Even a receipt that would otherwise be thrown away can lead to sales. If you want to turn the data that fills your daily life into results, improve your data literacy.

Master the nationally certified data analysis associate specialist qualification exam in 2 weeks! Acquire the core theories and background knowledge of data, and learn advanced knowledge of data analysis using R, a statistical analysis tool.

This course will help you make the most reasonable business decisions through data, from data connection to data visualization. Completely master Power BI data analysis and visualization that will lead to valuable insights!

A course that breaks down the barriers to 3D printers and allows you to easily and simply get started with 3D printer modeling! Let's create your own design props with a 3D printer, from tool functions to how to use crate foam.

Claude AI First Steps: Get It Right from the Start, Directly Applicable in Practice! Want to use it smarter? Start with Claude AI.

The most popular tool for designers, Figma! Become a popular UX/UI designer by easily creating with AI!

AI Solution that maximizes innovation and performance! Your business leaps to a new dimension.

AI does the coding, I get the results! Maximize practical programming skills, achievable even for beginners!

Stylish video content created with just one line of text! An Easy and Fast Introduction to SNS Content Creation, Starting with Kling AI

A flexible work pipeline connecting information exploration, analysis, and organization! A practical search-based automation curriculum completed with Felo

A course that covers how to conveniently handle work using the macro recorder without the burden of VBA coding! You can understand how to utilize macros in various ways through practice of simply converting data accumulated in the company into an Excel database and building a search system to find it.

Do you want to take your first step into the world of data? Learn machine learning and deep learning, the core technologies of AI, with Python. This course will guide you step by step, from the basics of machine learning and deep learning to practical applications. Traditional machine learning and deep learning are based on many of the same principles and technical systems. Therefore, this course does not separate the two into separate subjects, but rather organizes them into one connected course so that beginners can increase their understanding of machine learning as a whole.

You can acquire an overview of machine learning and deep learning, how to use basic tools, and the Python language knowledge necessary for learning in a short period of time.

If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.

Learn how to process big data from a Silicon Valley software engineer & how to develop big data code with Apache Spark using Python. I am a 14-year software developer who handles everything from web applications to big data and SRE & DevOps with Python. Don't miss this opportunity to learn about Apache Spark, which is essential for big data professionals, in an easy and in-depth way using Python!

From the basics of machine learning & deep learning! Creating and utilizing classification/regression/clustering/artificial neural networks with Python

ADsP Certification All-In-One Course! Ultra-Short Term Completion! Reflecting 2025 August 46th Exam! (Continuous Updates!)

Easy, powerful, always-on data analysis! Orange 3: Simple, no coding!

Through this course, students will learn various reinforcement learning theories and implement them themselves, as well as create a reinforcement learning environment to test the reinforcement learning algorithm implemented using Unity Machine Learning Agents.

With Python Quant Investment, you can create investment strategies based on data and invest according to the strategy. You can implement various asset allocation strategies and ultimately create your own investment strategy.

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

This lecture is a follow-up lecture to 'Python Data-Based Stock Quant Investment Part 1'. If Part 1 was more of an introduction, Part 2 is an in-depth lecture that focuses on the entire flow of practical strategy implementation and quantitative investment development. This class focuses on advanced Pandas techniques for handling time series data, and how to implement signal-based strategies and static/dynamic asset allocation strategies that require adjusting asset weights at various intervals based on this. Furthermore, it goes beyond strategy implementation and learns about 'code framework' that directly verifies and backtests various investment strategies with minimal code modifications, how to extend this to improve it so that it can lead to actual investment, and what to watch out for in this process. In addition to the programming component, you can experience the best Python quant investment flow that you cannot find in investment books, blogs, YouTube, etc. by deeply covering theoretical contents such as the two types of return concepts (simple return, log return) and evaluation indicators related to backtesting.

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.

In this class, you will learn about the principles and methods of analyzing and processing various types of financial data using Python's Pandas library, apply them to situations you may encounter in the real world, and ultimately learn how to implement backtesting based on financial statement data (based on Kang Hwan-guk's book, "You Can Do Quant Investment"). As a result, you can break away from being a "passive investor" who simply follows what others say without verifying or basing the investment logic, and become a "self-directed and active investor" who can freely extract various elements necessary for strategy implementation from data and quantitatively analyze them using Python and Pandas.

ADsP Summary + Past Exam Solutions. Reflects August 2025 46th Exam! (Continuously Updated!)

This course is an introductory program designed so that learners who are new to AI technology can easily understand and follow along. Through the lectures, you will learn the basic concepts and usage methods of AI platforms, and conduct hands-on practice directly generating images using various AI tools. Upon completing this course, you will become much closer to AI and acquire the capability to create AI images that can visually implement creative ideas.

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

Master the Big Data Analysis Engineer certification, an essential but never easy-to-self-study credential, in a short period by utilizing R, an easy-to-learn data analysis tool!!

Make AI data analysis and modeling results into a Web Program.

SSIS, SSAS, MachineLearning, BI, ETL. You can learn important technologies that cannot be found in domestic books, YouTube, lectures, blogs, and academies. I also recommend it to those who are interested in employment at domestic large companies, American large companies, and American state funding agencies.

This course covers everything from the basics to hands-on practice of AI platforms, and is a program where you can learn AI image generation technology. Learners can understand the fundamental concepts of AI and develop the ability to generate AI images using various tools and technologies. Through this course, you can enhance your understanding of the AI field and learn how to directly generate AI images in real-world applications.