USING GENERATIVE ARTIFICIAL INTELLIGENCE FOR DATA ANALYSIS

Abstract

The optimization and development of artificial intelligence algorithms open up endless possibilities for improving the processes of machine learning and data analytics. In this context, ChatGPT, based on advanced deep learning technologies, acts as a key tool. Its powerful potential in understanding and generating natural language makes it an effective tool for a variety of data mining tasks.

Reflecting the rapid advancement of technology, machine learning and data analytics are becoming not only important but integral components in today's world. They allow companies to use vast amounts of data to obtain valuable information and make informed decisions. In this context, intelligent models such as ChatGPT become a crystal ball, providing the ability to understand and generate text in natural language, which opens new horizons for performing analysis and interaction with data.

In 2022, a new stage of artificial intelligence development began. Many companies started publishing their developments and methodologies in this area. The rapid development has made it possible to automate many routine processes in various spheres of life and activity. The field of data science and analysis is no exception. The task is to show that artificial intelligence is useful for data analysis tasks. Thanks to this tool, you can look at the task from a different perspective. In the course of the work, thanks to generative artificial intelligence, a dataset was selected that was able to select a dataset so that the clustering method, forecasting, and ensemble machine learning method could be revealed. This study shows that the use of artificial intelligence is useful, helps and gives advice on the creation and progress of code development.