Automated data science

Data science, as we all know, is a field that combines computer science, statistics, and business analytics to extract knowledge and insights from data. Data scientists use a variety of tools and techniques to collect, clean, analyze, and visualize data. They use this information to help businesses make better decisions. The responsibilities of a data scientist are wide-ranging and often involve multiple steps that vary depending on the specific role and industry. Data scientists are also tasked with building predictive models to help in decision-making processes. All the tasks mentioned are crucial to data science but can be time-consuming and complex.

Automating various aspects of the data science workflow allows data scientists to focus more on creative problem-solving while enhancing productivity. Recent tools are making different stages of the process more efficient by enabling faster iterations and less manual coding for common workflows. Some of the...