Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...

Data loading and inspection Handling missing values analysis Statistical summary using describe() Visual analysis using histograms, boxplots, count plots, scatter plots, and heatmaps Identified ...

In this project, I worked with transactional data from an online retail store. The dataset contained information about customer purchases, including product details, quantities, prices, and timestamps ...

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 ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

ABSTRACT: Evaluating drug safety during pregnancy remains an ongoing clinical and pharmacological challenge due to ethical, practical, and regulatory barriers, resulting in scarce human clinical trial ...

The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies. Alex Karp, a ...

Abstract: Crime forecasting is a critical endeavor aimed at preventing future criminal actions, specifically the rising rate of violence against women in India. This study proposes the model to ...

ABSTRACT: Sharing knowledge produced by university research is still a complex activity, especially when it comes to commercial exploitation. One way to share this knowledge is through the creation of ...