Python library for data analysis and EDA

Explanation of web data collection techniques using Python. Explanation of web data scraping using the latest technologies.

This article explains how to develop an AI web service using the API from OpenAI.

Explaining how to connect to a Python-based AI web server using FastAPI from a Spring Boot project.

Learn Oracle Database SQL syntax.

We will introduce how to create deep learning models and CNN models using artificial neural network algorithms.

A star trainer in IT development, artificial intelligence, and IT strategic planning provides an easy, detailed, and accurate explanation of the fundamentals of the Java programming language.

A star instructor in IT development, artificial intelligence, and IT strategic planning provides an easy, detailed, and accurate explanation of the Python programming language.

This is a machine learning and deep learning project preparation course that uses Python to process Boston Marathon big data into the desired format and uses various charts and technologies to create valuable information.

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

This course introduces Pandas commands useful in data science practice in a short lecture format. You can view and download all the codes used in the course directly from GitHub and practice them.

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.

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.

A course to understand and practice machine learning that efficiently performs complex analysis and prediction! Machine learning, which seemed difficult and complicated, can be easily and enjoyably learned in its core with Maso Campus' <Python Machine Learning>.

Unlike existing lectures, this course has been newly designed based on the instructor's initial failures in learning machine learning, enabling easy understanding and application to real-world problems.

I want to create an algorithm trading bot that makes unlimited money and run it automatically. Where should I start?

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

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.