The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Abstract: Exploratory data analysis (EDA) plays an important role in various areas of research. In scenarios where reliable communication is essential, such as maritime environments, EDA can play a ...

The programme is designed for aspiring data scientists, AI enthusiasts, technology professionals seeking to upskill.

At the “Make with Notion” event on Thursday, the company announced the launch of its first AI agent. The agent will draw on all of a user’s notion pages and database as context, automatically ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Databricks has added a new agent, the Data Science Agent, to the Databricks Assistant, in an effort to help data practitioners automate analytics tasks. The agent, which is available now in preview ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

ABSTRACT: Most studies on the relationship between lexical sophistication and writing quality operationalize lexical sophistication as distributional property of words and focus on argumentative ...

Keizo Asami Institute, iLIKA, Federal University of Pernambuco, Recife, Pernambuco 50670-901, Brazil Graduate Program in Biology Applied to Health, PPGBAS, Federal University of Pernambuco, Recife, ...

To explore character popularity metrics such as the number of "favorites". To analyze biographical and name-based trends in anime characters. To practice key Python data analysis skills: cleaning, ...